Using GPT4o mini to tag and caption images

This notebook explores how to leverage the vision capabilities of the GPT-4* models (for example gpt-4o, gpt-4o-mini or gpt-4-turbo) to tag & caption images.

We can leverage the multimodal capabilities of these models to provide input images along with additional context on what they represent, and prompt the model to output tags or image descriptions. The image descriptions can then be further refined with a language model (in this notebook, we’ll use gpt-4o-mini) to generate captions.

Generating text content from images can be useful for multiple use cases, especially use cases involving search.
We will illustrate a search use case in this notebook by using generated keywords and product captions to search for products - both from a text input and an image input.

As an example, we will use a dataset of Amazon furniture items, tag them with relevant keywords and generate short, descriptive captions.

Setup

# Install dependencies if needed
%pip install openai
%pip install scikit-learn

from IPython.display import Image, display
import pandas as pd
from sklearn.metrics.pairwise import cosine_similarity
import numpy as np
from openai import OpenAI

# Initializing OpenAI client - see https://platform.openai.com/docs/quickstart?context=python
client = OpenAI()

# Loading dataset
dataset_path =  "data/amazon_furniture_dataset.csv"
df = pd.read_csv(dataset_path)
df.head()

Tag images

In this section, we’ll use GPT-4o mini to generate relevant tags for our products.

We’ll use a simple zero-shot approach to extract keywords, and deduplicate those keywords using embeddings to avoid having multiple keywords that are too similar.

We will use a combination of an image and the product title to avoid extracting keywords for other items that are depicted in the image - sometimes there are multiple items used in the scene and we want to focus on just the one we want to tag.

Extract keywords

system_prompt = '''
    You are an agent specialized in tagging images of furniture items, decorative items, or furnishings with relevant keywords that could be used to search for these items on a marketplace.
    
    You will be provided with an image and the title of the item that is depicted in the image, and your goal is to extract keywords for only the item specified. 
    
    Keywords should be concise and in lower case. 
    
    Keywords can describe things like:
    - Item type e.g. 'sofa bed', 'chair', 'desk', 'plant'
    - Item material e.g. 'wood', 'metal', 'fabric'
    - Item style e.g. 'scandinavian', 'vintage', 'industrial'
    - Item color e.g. 'red', 'blue', 'white'
    
    Only deduce material, style or color keywords when it is obvious that they make the item depicted in the image stand out.

    Return keywords in the format of an array of strings, like this:
    ['desk', 'industrial', 'metal']
    
'''

def analyze_image(img_url, title):
    response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[
        {
            "role": "system",
            "content": system_prompt
        },
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": {
                        "url": img_url,
                    }
                },
            ],
        },
        {
            "role": "user",
            "content": title
        }
    ],
        max_tokens=300,
        top_p=0.1
    )

    return response.choices[0].message.content

Testing with a few examples

examples = df.iloc[:5]

for index, ex in examples.iterrows():
    url = ex['primary_image']
    img = Image(url=url)
    display(img)
    result = analyze_image(url, ex['title'])
    print(result)
    print("\n\n")

['shoe rack', 'metal', 'white', 'multi-layer', 'hooks']

['dining chair', 'leather', 'black']

['repotting mat', 'waterproof', 'portable', 'foldable', 'green']

['doormat', 'absorbent', 'non-slip', 'coconut fiber', 'welcome', 'pickleball', 'outdoor']

['tv tray', 'foldable', 'metal', 'grey']

Looking up existing keywords

Using embeddings to avoid duplicates (synonyms) and/or match pre-defined keywords

# Feel free to change the embedding model here
def get_embedding(value, model="text-embedding-3-large"): 
    embeddings = client.embeddings.create(
      model=model,
      input=value,
      encoding_format="float"
    )
    return embeddings.data[0].embedding

Testing with example keywords

# Existing keywords
keywords_list = ['industrial', 'metal', 'wood', 'vintage', 'bed']

df_keywords = pd.DataFrame(keywords_list, columns=['keyword'])
df_keywords['embedding'] = df_keywords['keyword'].apply(lambda x: get_embedding(x))
df_keywords

def compare_keyword(keyword):
    embedded_value = get_embedding(keyword)
    df_keywords['similarity'] = df_keywords['embedding'].apply(lambda x: cosine_similarity(np.array(x).reshape(1,-1), np.array(embedded_value).reshape(1, -1)))
    most_similar = df_keywords.sort_values('similarity', ascending=False).iloc[0]
    return most_similar

def replace_keyword(keyword, threshold = 0.6):
    most_similar = compare_keyword(keyword)
    if most_similar['similarity'] > threshold:
        print(f"Replacing '{keyword}' with existing keyword: '{most_similar['keyword']}'")
        return most_similar['keyword']
    return keyword

# Example keywords to compare to our list of existing keywords
example_keywords = ['bed frame', 'wooden', 'vintage', 'old school', 'desk', 'table', 'old', 'metal', 'metallic', 'woody']
final_keywords = []

for k in example_keywords:
    final_keywords.append(replace_keyword(k))
    
final_keywords = set(final_keywords)
print(f"Final keywords: {final_keywords}")

Replacing 'bed frame' with existing keyword: 'bed'
Replacing 'wooden' with existing keyword: 'wood'
Replacing 'vintage' with existing keyword: 'vintage'
Replacing 'metal' with existing keyword: 'metal'
Replacing 'metallic' with existing keyword: 'metal'
Replacing 'woody' with existing keyword: 'wood'
Final keywords: {'vintage', 'desk', 'wood', 'table', 'old', 'bed', 'metal', 'old school'}

Generate captions

In this section, we’ll use GPT-4o mini to generate an image description and then use a few-shot examples approach with GPT-4-turbo to generate captions from the images.

If few-shot examples are not enough for your use case, consider fine-tuning a model to get the generated captions to match the style & tone you are targeting.

# Cleaning up dataset columns
selected_columns = ['title', 'primary_image', 'style', 'material', 'color', 'url']
df = df[selected_columns].copy()
df.head()

Describing images with GPT-4o mini

describe_system_prompt = '''
    You are a system generating descriptions for furniture items, decorative items, or furnishings on an e-commerce website.
    Provided with an image and a title, you will describe the main item that you see in the image, giving details but staying concise.
    You can describe unambiguously what the item is and its material, color, and style if clearly identifiable.
    If there are multiple items depicted, refer to the title to understand which item you should describe.
    '''

def describe_image(img_url, title):
    response = client.chat.completions.create(
    model="gpt-4o-mini",
    temperature=0.2,
    messages=[
        {
            "role": "system",
            "content": describe_system_prompt
        },
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": {
                        "url": img_url,
                    }
                },
            ],
        },
        {
            "role": "user",
            "content": title
        }
    ],
    max_tokens=300,
    )

    return response.choices[0].message.content

Testing on a few examples

for index, row in examples.iterrows():
    print(f"{row['title'][:50]}{'...' if len(row['title']) > 50 else ''} - {row['url']} :\n")
    img_description = describe_image(row['primary_image'], row['title'])
    print(f"{img_description}\n--------------------------\n")

GOYMFK 1pc Free Standing Shoe Rack, Multi-layer Me... - https://www.amazon.com/dp/B0CJHKVG6P :

The item is a free-standing shoe rack designed for versatile use in living rooms, bathrooms, or hallways. It features a multi-layer metal structure with a sleek white finish. The rack includes eight double hooks at the top for hanging accessories like hats, bags, or scarves. Below, there are multiple shelves that provide ample space for organizing shoes, making it both functional and stylish for entryway storage.
--------------------------

subrtex Leather ding Room, Dining Chairs Set of 2,... - https://www.amazon.com/dp/B0B66QHB23 :

The Subrtex Leather Dining Chairs come in a set of two, featuring a sleek black design. Each chair is upholstered in durable faux leather, offering a modern and stylish look. The high backrest is accentuated with subtle vertical stitching, while the sturdy wooden legs provide stability and support. These chairs are ideal for enhancing the aesthetic of any dining room.
--------------------------

Plant Repotting Mat MUYETOL Waterproof Transplanti... - https://www.amazon.com/dp/B0BXRTWLYK :

The Plant Repotting Mat is a portable and foldable gardening accessory, measuring 26.8" x 26.8". It features a vibrant green color with black edges, designed to be waterproof for easy cleanup during soil changes. The mat provides a spacious area for repotting plants and comes with tools for transplanting. Ideal for indoor gardening, it helps keep your workspace tidy while you care for your succulents and other plants.
--------------------------

Pickleball Doormat, Welcome Doormat Absorbent Non-... - https://www.amazon.com/dp/B0C1MRB2M8 :

The Pickleball Doormat features a natural coir material with a rectangular shape, measuring 16x24 inches. It showcases a playful design with the phrase "It's a good day to play PICKLEBALL" in bold black lettering, accompanied by graphic illustrations of pickleball paddles. The mat is designed to be absorbent and non-slip, making it suitable for entryways or bathrooms. Its light brown color adds a warm touch to any space.
--------------------------

JOIN IRON Foldable TV Trays for Eating Set of 4 wi... - https://www.amazon.com/dp/B0CG1N9QRC :

The JOIN IRON Foldable TV Trays set includes four sleek, grey snack tables designed for convenience and space-saving. Each tray features a sturdy, flat surface supported by a durable metal frame, allowing for easy folding and storage. The minimalist design makes them ideal for small spaces, perfect for enjoying meals or snacks while watching TV. The set also comes with a stand for organized storage when not in use.
--------------------------

Turning descriptions into captions

Using a few-shot examples approach to turn a long description into a short image caption

caption_system_prompt = '''
Your goal is to generate short, descriptive captions for images of furniture items, decorative items, or furnishings based on an image description.
You will be provided with a description of an item image and you will output a caption that captures the most important information about the item.
Your generated caption should be short (1 sentence), and include the most relevant information about the item.
The most important information could be: the type of the item, the style (if mentioned), the material if especially relevant and any distinctive features.
'''

few_shot_examples = [
    {
        "description": "This is a multi-layer metal shoe rack featuring a free-standing design. It has a clean, white finish that gives it a modern and versatile look, suitable for various home decors. The rack includes several horizontal shelves dedicated to organizing shoes, providing ample space for multiple pairs. Above the shoe storage area, there are 8 double hooks arranged in two rows, offering additional functionality for hanging items such as hats, scarves, or bags. The overall structure is sleek and space-saving, making it an ideal choice for placement in living rooms, bathrooms, hallways, or entryways where efficient use of space is essential.",
        "caption": "White metal free-standing shoe rack"
    },
    {
        "description": "The image shows a set of two dining chairs in black. These chairs are upholstered in a leather-like material, giving them a sleek and sophisticated appearance. The design features straight lines with a slight curve at the top of the high backrest, which adds a touch of elegance. The chairs have a simple, vertical stitching detail on the backrest, providing a subtle decorative element. The legs are also black, creating a uniform look that would complement a contemporary dining room setting. The chairs appear to be designed for comfort and style, suitable for both casual and formal dining environments.",
        "caption": "Set of 2 modern black leather dining chairs"
    },
    {
        "description": "This is a square plant repotting mat designed for indoor gardening tasks such as transplanting and changing soil for plants. It measures 26.8 inches by 26.8 inches and is made from a waterproof material, which appears to be a durable, easy-to-clean fabric in a vibrant green color. The edges of the mat are raised with integrated corner loops, likely to keep soil and water contained during gardening activities. The mat is foldable, enhancing its portability, and can be used as a protective surface for various gardening projects, including working with succulents. It's a practical accessory for garden enthusiasts and makes for a thoughtful gift for those who enjoy indoor plant care.",
        "caption": "Waterproof square plant repotting mat"
    }
]

formatted_examples = [[{
    "role": "user",
    "content": ex['description']
},
{
    "role": "assistant", 
    "content": ex['caption']
}]
    for ex in few_shot_examples
]

formatted_examples = [i for ex in formatted_examples for i in ex]

def caption_image(description, model="gpt-4o-mini"):
    messages = formatted_examples
    messages.insert(0, 
        {
            "role": "system",
            "content": caption_system_prompt
        })
    messages.append(
        {
            "role": "user",
            "content": description
        })
    response = client.chat.completions.create(
    model=model,
    temperature=0.2,
    messages=messages
    )

    return response.choices[0].message.content

Testing on a few examples

examples = df.iloc[5:8]

for index, row in examples.iterrows():
    print(f"{row['title'][:50]}{'...' if len(row['title']) > 50 else ''} - {row['url']} :\n")
    img_description = describe_image(row['primary_image'], row['title'])
    print(f"{img_description}\n--------------------------\n")
    img_caption = caption_image(img_description)
    print(f"{img_caption}\n--------------------------\n")

LOVMOR 30'' Bathroom Vanity Sink Base Cabine, Stor... - https://www.amazon.com/dp/B0C9WYYFLB :

The LOVMOR 30'' Bathroom Vanity Sink Base Cabinet features a classic design with a rich brown finish. It includes three drawers on the left side for ample storage, complemented by a spacious cabinet door on the right. The cabinet is constructed with detailed paneling, adding a touch of elegance, making it suitable for bathrooms, kitchens, laundry rooms, and more. Its versatile style allows it to blend seamlessly into various decor themes.
--------------------------

Classic 30'' brown bathroom vanity sink base cabinet with storage drawers.
--------------------------

Folews Bathroom Organizer Over The Toilet Storage,... - https://www.amazon.com/dp/B09NZY3R1T :

The Folews Bathroom Organizer is a freestanding, 4-tier storage rack designed to fit over a toilet. It features a sleek black metal frame with adjustable shelves, allowing for customizable storage options. The shelves are made of wire, providing a modern look while ensuring durability. This organizer includes baskets for additional storage and is ideal for maximizing bathroom space by holding toiletries, towels, and other essentials. Its design is both functional and stylish, making it a great addition to any bathroom.
--------------------------

Freestanding 4-tier black metal bathroom organizer with adjustable wire shelves and baskets.
--------------------------

GOYMFK 1pc Free Standing Shoe Rack, Multi-layer Me... - https://www.amazon.com/dp/B0CJHKVG6P :

The GOYMFK Free Standing Shoe Rack is a versatile storage solution designed for various spaces like living rooms, bathrooms, or hallways. It features a multi-layer metal construction with a sleek white finish. The rack includes eight double hooks at the top for hanging items such as hats, bags, or scarves. Below, there are multiple shelves for organizing shoes, accommodating various styles and sizes. Its modern design combines functionality with a clean aesthetic, making it a practical addition to any home.
--------------------------

Versatile white metal free-standing shoe rack with hooks and multiple shelves.
--------------------------

Image search

In this section, we will use generated keywords and captions to search items that match a given input, either text or image.

We will leverage our embeddings model to generate embeddings for the keywords and captions and compare them to either input text or the generated caption from an input image.

# Df we'll use to compare keywords
df_keywords = pd.DataFrame(columns=['keyword', 'embedding'])
df['keywords'] = ''
df['img_description'] = ''
df['caption'] = ''

# Function to replace a keyword with an existing keyword if it's too similar
def get_keyword(keyword, df_keywords, threshold = 0.6):
    embedded_value = get_embedding(keyword)
    df_keywords['similarity'] = df_keywords['embedding'].apply(lambda x: cosine_similarity(np.array(x).reshape(1,-1), np.array(embedded_value).reshape(1, -1)))
    sorted_keywords = df_keywords.copy().sort_values('similarity', ascending=False)
    if len(sorted_keywords) > 0 :
        most_similar = sorted_keywords.iloc[0]
        if most_similar['similarity'] > threshold:
            print(f"Replacing '{keyword}' with existing keyword: '{most_similar['keyword']}'")
            return most_similar['keyword']
    new_keyword = {
        'keyword': keyword,
        'embedding': embedded_value
    }
    df_keywords = pd.concat([df_keywords, pd.DataFrame([new_keyword])], ignore_index=True)
    return keyword

Preparing the dataset

import ast

def tag_and_caption(row):
    keywords = analyze_image(row['primary_image'], row['title'])
    try:
        keywords = ast.literal_eval(keywords)
        mapped_keywords = [get_keyword(k, df_keywords) for k in keywords]
    except Exception as e:
        print(f"Error parsing keywords: {keywords}")
        mapped_keywords = []
    img_description = describe_image(row['primary_image'], row['title'])
    caption = caption_image(img_description)
    return {
        'keywords': mapped_keywords,
        'img_description': img_description,
        'caption': caption
    }

df.shape

(312, 9)

Processing all 312 lines of the dataset will take a while. To test out the idea, we will only run it on the first 50 lines: this takes ~20 mins. Feel free to skip this step and load the already processed dataset (see below).

# Running on first 50 lines
for index, row in df[:50].iterrows():
    print(f"{index} - {row['title'][:50]}{'...' if len(row['title']) > 50 else ''}")
    updates = tag_and_caption(row)
    df.loc[index, updates.keys()] = updates.values()

0 - GOYMFK 1pc Free Standing Shoe Rack, Multi-layer Me...
1 - subrtex Leather ding Room, Dining Chairs Set of 2,...
2 - Plant Repotting Mat MUYETOL Waterproof Transplanti...
3 - Pickleball Doormat, Welcome Doormat Absorbent Non-...
4 - JOIN IRON Foldable TV Trays for Eating Set of 4 wi...
5 - LOVMOR 30'' Bathroom Vanity Sink Base Cabine, Stor...
6 - Folews Bathroom Organizer Over The Toilet Storage,...
7 - GOYMFK 1pc Free Standing Shoe Rack, Multi-layer Me...
8 - subrtex Leather ding Room, Dining Chairs Set of 2,...
9 - Plant Repotting Mat MUYETOL Waterproof Transplanti...
10 - Pickleball Doormat, Welcome Doormat Absorbent Non-...
11 - JOIN IRON Foldable TV Trays for Eating Set of 4 wi...
12 - LOVMOR 30'' Bathroom Vanity Sink Base Cabine, Stor...
13 - Folews Bathroom Organizer Over The Toilet Storage,...
14 - Lerliuo Nightstand, Side Table, Industrial Bedside...
15 - Boss Office Products Any Task Mid-Back Task Chair ...
16 - Kingston Brass BA1752BB Heritage 18-Inch Towel-Bar...
17 - Chief Mfg.Swing-Arm Wall Mount Hardware Mount Blac...
18 - DOMYDEVM Black End Table, Nightstand with Charging...
19 - LASCO 35-5019 Hallmack Style 24-Inch Towel Bar Acc...
20 - Table-Mate II PRO TV Tray Table - Folding Table wi...
21 - EGFheal White Dress Up Storage
22 - Caroline's Treasures PPD3013JMAT Enchanted Garden ...
23 - Leick Home 70007-WTGD Mixed Metal and Wood Stepped...
24 - Caroline's Treasures CK3435MAT Bichon Frise Doorma...
25 - Wildkin Kids Canvas Sling Bookshelf with Storage f...
26 - Gbuzozie 38L Round Laundry Hamper Cute Mermaid Gir...
27 - Tiita Comfy Saucer Chair, Soft Faux Fur Oversized ...
28 - Summer Desk Decor,Welcome Summer Wood Block Sign D...
29 - Homebeez 39.1" Length Bedroom Storage Bench, End B...
30 - Flash Furniture Webb Commercial Grade 24" Round Bl...
31 - Mellow 2 Inch Ventilated Memory Foam Mattress Topp...
32 - CangLong Mid Century Modern Side Chair with Wood L...
33 - HomePop Metal Accent Table Triangle Base Round Mir...
34 - MAEPA RV Shoe Storage for Bedside - 8 Extra Large ...
35 - NearMoon Hand Towel Holder/Towel Ring - Bathroom T...
36 - FLYJOE Narrow Side Table with PU Leather Magazine ...
37 - HomePop Home Decor | K2380-YDQY-2 | Luxury Large F...
38 - Moroccan Leather Pouf Ottoman for Living Room - Ro...
39 - AnyDesign Christmas Welcome Doormat Decorative Xma...
40 - GXFC ZHAO Welcome Funny Door Mat Shoes and Bras Of...
41 - LEASYLIFE Black Metal Trash can,10L/2.6GAL,Open To...
42 - Solid Wood Wine Cabinet, bar Rack - Home Wood Furn...
43 - Black Leather Office Chair Mid Back Leather Desk C...
44 - Convenience Concepts Tucson Flip Top End Table wit...
45 - 3-Tier Kitchen Storage Cart with Handle, Multifunc...
46 - Mimoglad Office Chair, High Back Ergonomic Desk Ch...
47 - Let the Adventure Begin Door Mat 17"x30" Decorativ...
48 - 1 Pack Adjustable Height Center Support Leg for Be...
49 - Stylo Culture Traditional Cotton Patchwork Embroid...

df.head()

data_path = "data/items_tagged_and_captioned.csv"

# Saving locally for later - optional: do not execute if you prefer to use the provided file
df.to_csv(data_path, index=False)

# Optional: load data from saved file if you haven't processed the whole dataset
df = pd.read_csv(data_path)

Embedding captions and keywords

We can now use the generated captions and keywords to match relevant content to an input text query or caption. To do this, we will embed a combination of keywords + captions. Note: creating the embeddings will take ~3 mins to run. Feel free to load the pre-processed dataset (see below).

df_search = df.copy()

def embed_tags_caption(x):
    if x['caption'] != '':
        try:
            keywords_string = ",".join(k for k in x['keywords']) + '\n'
            content = keywords_string + x['caption']
            embedding = get_embedding(content)
            return embedding
        except Exception as e:
            print(f"Error creating embedding for {x}: {e}")

df_search['embedding'] = df_search.apply(lambda x: embed_tags_caption(x), axis=1)

Error creating embedding for title              Suptsifira Shoe storage box, 24 Packs Shoe Box...
primary_image      https://m.media-amazon.com/images/I/51enKGSxK8...
style                                                            NaN
material                                                   Porcelain
color                                                          White
url                             https://www.amazon.com/dp/B0BZ85JVBN
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 50, dtype: object: 'float' object is not iterable
Error creating embedding for title              Wellynap Computer Desk,31.5 inches Folding Tab...
primary_image      https://m.media-amazon.com/images/I/51pO-N48te...
style                                                         Modern
material                                                        Wood
color                                                   Teak & Black
url                             https://www.amazon.com/dp/B0CFL2G31X
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 51, dtype: object: 'float' object is not iterable
Error creating embedding for title              Smlttel Gold Clothing Rack With Shelves, Gold ...
primary_image      https://m.media-amazon.com/images/I/41aRwocdfA...
style                                                         Modern
material                                                       Metal
color                                                         C gold
url                             https://www.amazon.com/dp/B0B93TC1Z8
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 52, dtype: object: 'float' object is not iterable
Error creating embedding for title              Franklin Sports NFL Storage Ottoman + Containe...
primary_image      https://m.media-amazon.com/images/I/31ptZB+wS-...
style              Team Licensed Storage Ottoman with Detachable Lid
material                                                      Fabric
color                                                     Team Color
url                             https://www.amazon.com/dp/B0787KRJ8S
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 53, dtype: object: 'float' object is not iterable
Error creating embedding for title              Honey-Can-Do 3-Tier Nesting Bamboo Shoe Rack S...
primary_image      https://m.media-amazon.com/images/I/51GnnjKaVs...
style                                                           Shoe
material                                                         NaN
color                                                            NaN
url                             https://www.amazon.com/dp/B08WRLKR7T
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 54, dtype: object: 'float' object is not iterable
Error creating embedding for title              Furnistar 15.9 inch Modern Round Velvet Storag...
primary_image      https://m.media-amazon.com/images/I/31IBS5mzYS...
style                                                         Modern
material                                                        Wood
color                                                           Grey
url                             https://www.amazon.com/dp/B0C4NT8N8C
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 55, dtype: object: 'float' object is not iterable
Error creating embedding for title              AMHANCIBLE C Shaped Side Table, End Tables Set...
primary_image      https://m.media-amazon.com/images/I/41qDAGoNCr...
style                                                   Straight Leg
material                                             Engineered Wood
color                                                          Black
url                             https://www.amazon.com/dp/B0BT9SVN1V
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 56, dtype: object: 'float' object is not iterable
Error creating embedding for title              LONGWIN Black Hanging Wall Round Mirror Decor ...
primary_image      https://m.media-amazon.com/images/I/41kC6cU5HX...
style                                                         Modern
material                                                Glass, Metal
color                                                          Black
url                             https://www.amazon.com/dp/B094F897P3
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 57, dtype: object: 'float' object is not iterable
Error creating embedding for title              Need Fold Wall Mounted Workbench Folding Wall ...
primary_image      https://m.media-amazon.com/images/I/31SqvdFCut...
style                                                         Modern
material                                                       Metal
color               Teak Color Desktop & Warm White Folding Brackets
url                             https://www.amazon.com/dp/B00UV7B29A
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 58, dtype: object: 'float' object is not iterable
Error creating embedding for title              Big Joe Fuf XL Cover Only Machine Washable, Gr...
primary_image      https://m.media-amazon.com/images/I/21ysztDdCY...
style                                                          Plush
material                                                         NaN
color                                                           Grey
url                             https://www.amazon.com/dp/B08T7JP8ZN
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 59, dtype: object: 'float' object is not iterable
Error creating embedding for title              Plymor Rectangle 5mm Beveled Glass Mirror, 6 i...
primary_image      https://m.media-amazon.com/images/I/31wigA5chu...
style                                                            NaN
material                                                       Glass
color                                                         Silver
url                             https://www.amazon.com/dp/B09F3SGZ8Y
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 60, dtype: object: 'float' object is not iterable
Error creating embedding for title              TIMCORR CD Case DVD Holder Storage: 144 Capaci...
primary_image      https://m.media-amazon.com/images/I/411Q2ETwel...
style                                                       Portable
material                           EVA + PVC + PP + Non-woven fabric
color                                                          Black
url                             https://www.amazon.com/dp/B0B19ZGGXC
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
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Error creating embedding for title              CordaRoy's Chenille Bean Bag Ottoman Footstool...
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Error creating embedding for title              Plebs Home Solid Desktop Store Cart, with Rubb...
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Error creating embedding for title              Mickey and Friends Collapsible Nylon Basket Bu...
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Error creating embedding for title              YMYNY Vanity Stool Chair with Storage, Square ...
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Error creating embedding for title              Sweet Jojo Designs Boho Rainbow Girl Ottoman P...
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Error creating embedding for title              Xchouxer Side Tables Natural Bamboo Sofa Armre...
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Error creating embedding for title              Montessori Learning Toddler Tower, Foldable To...
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Error creating embedding for title              PAK HOME Set of 2 High Gloss Brown Marble Look...
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Error creating embedding for title              kukli kitchen Spring Door Mat 30 X 17 Inch - S...
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Error creating embedding for title              Toland Home Garden 800009 Gypsy Garden Flower ...
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Error creating embedding for title              Sintosin Vintage Oval Mirrors for Wall Decor 1...
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Error creating embedding for title              FLYJOE Shoe Rack Bench, 3-Tier Freestanding Wo...
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Error creating embedding for title              SITMOD Gaming Chairs for Adults with Footrest-...
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Error creating embedding for title              CM Cosmos Stuffed Animal Storage Bean Bag Chai...
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Error creating embedding for title              Cionyce 4 Pcs Sectional Couch Connectors, Pin ...
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Error creating embedding for title              GIA 24-Inch Counter Height Square Backless Met...
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Error creating embedding for title              Vintage Desktop Apothecary Cabinet with 3 Draw...
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Error creating embedding for title              WAYTRIM Dresser Storage Tower, 4 Fabric Organi...
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Error creating embedding for title              Power Recliner Power Supply Kit-4-Piece Univer...
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Error creating embedding for title              Lufeiya Small Computer Desk with 2 Drawers for...
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Error creating embedding for title              Watson & Whitely Swivel Bar Stools Set of 2, F...
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Error creating embedding for title              Adeco Large Square Storage Ottoman Bench, Tuft...
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Error creating embedding for title              New Classic Furniture Evander Wood End Table w...
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Error creating embedding for title              Lipper International Wooden Storage Crate, whi...
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Error creating embedding for title              Amazon Basics Kids Adjustable Mesh Low-Back Sw...
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Error creating embedding for title              Joovy Coo Bassinet, Portable Bassinet with Sto...
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Error creating embedding for title              Halatua 6ftlarge Fur Bean Bag Cover Lazy Sofa ...
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Error creating embedding for title              Flash Furniture Walker Small Rustic Natural Ho...
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Error creating embedding for title              BOKKOLIK Vintage Bar Stools Swivel PU Seat 29-...
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Error creating embedding for title              Nalupatio Storage Ottoman, Bedroom End Bench，U...
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Error creating embedding for title              Homevany Bamboo Wine Rack,4 Tier, Wine Bottle ...
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Error creating embedding for title              Armen Living Julius 30" Cream Faux Leather and...
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Error creating embedding for title              WONSTART Vanity Mirror with Lights, 50 x 41cm ...
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Error creating embedding for title              Cpintltr Velvet Foot Rest Stool Multipurpose D...
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Error creating embedding for title              uxcell Shredded Memory Foam Filling, 10 Pounds...
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Error creating embedding for title              Serta Style Hannah II Office Chair, Harvard Pi...
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Error creating embedding for title              Christmas 3D Illusion Doormat, Non-Slip Visual...
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Error creating embedding for title              Narrow Console Table with Power Strips, Sofa T...
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Error creating embedding for title              AnRui Folding Floor Chair with Adjustable Back...
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Error creating embedding for title              sogesfurniture 5 Tier Free Standing Wooden Sho...
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Error creating embedding for title              fengxiaomin-Plastic Bed Slat End Caps Holders ...
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Error creating embedding for title              Allied Brass Carolina Crystal Collection Frame...
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Error creating embedding for title              Home Source 40.7' Elegance Bar Server and Wine...
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Error creating embedding for title              Shintenchi 60" Small Loveseat, 3 in 1 Cute Con...
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Error creating embedding for title              King Mattresses Bag for Moving Storage Protect...
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Error creating embedding for title              sawsile Asymmetrical Wall Mirror,Unique Gold V...
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Error creating embedding for title              Leather At Home, Decorative 13 Inch Rounded Pi...
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Error creating embedding for title              Hzuaneri Blanket Ladder Shelf for Living Room,...
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Error creating embedding for title              9 Inch lighted magnifying mirror with Adjustab...
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Error creating embedding for title              shopperals Large Black Fogless Handheld Shavin...
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Error creating embedding for title              Convenience Concepts French Country Desk, Drif...
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Error creating embedding for title              FurnitureR 27''H Round Drawer 2 Tiers Endtable...
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Error creating embedding for title              Stylish Camping Ming's Mark RC4 Reversible Cla...
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Error creating embedding for title              Christopher Knight Home Adelina Fabric Occaisi...
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Error creating embedding for title              ODK Small Computer Desk, 27.5 inch Desk for Sm...
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Error creating embedding for title              GOmaize Cute Wall Mirror with 4 Layers of Colo...
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Error creating embedding for title              huester What are You Doing in My Swamp Door Ma...
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Error creating embedding for title              Bedstory 3 Inch Queen Size Memory Foam Mattres...
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Error creating embedding for title              Toland Home Garden 800252 Birthday Bash Party ...
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Error creating embedding for title              Asense Small Footstool Ottoman Set of 2, Faux ...
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Error creating embedding for title              PINGEUI 2 Packs 13 Inches Bamboo Step Stool, N...
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Error creating embedding for title              Poundex Y1553 Two Piece PU Round Shape Barstoo...
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Error creating embedding for title              SP-AU-Era Mirror cabinet storage box, cosmetic...
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style              Wall-mounted Perforated Home Bathroom Sink, Co...
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Error creating embedding for title              Kavonty Storage Chest, Storage Bench, Retro To...
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Error creating embedding for title              Barkan TV Wall Mount, 32-70 inch Full Motion A...
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Error creating embedding for title              danpinera Side Table Round Metal, Outdoor Side...
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Error creating embedding for title              Dscabomlg Foldable Shoe Storage Plastic Vertic...
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Error creating embedding for title              Realhotan 18 Inch Twin Bed Frame 3500 Pounds H...
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Error creating embedding for title              Kwikset BTBNC1C Pfister Bath Hardware, 18", Po...
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Error creating embedding for title              PONTMENT Foot Stool Leather Footstool Solid Wo...
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Error creating embedding for title              Kingston Brass BA2714C Milano Towel-Ring, 6-In...
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Error creating embedding for title              Jumweo Towel Racks for Bathroom, Metal Towel R...
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Error creating embedding for title              Christopher Knight Home Gentry Bonded Leather ...
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Error creating embedding for title              BokWin 4 Sets No Mortise Bed Rail Fittings Woo...
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Error creating embedding for title              Simple Deluxe Gaming Chair, Big and Tall Gamer...
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Error creating embedding for title              ChooChoo Farmhouse End Table, Modern End Table...
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Error creating embedding for title              Dwellicity Hello Welcome Mat Black and Gray St...
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Error creating embedding for title              Kraftware Grant Signature Home San Remo Pineco...
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Error creating embedding for title              Round Mirror, Black Round Mirror 24 Inch, Roun...
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Error creating embedding for title              Gexpusm Wood Coffee Table, Natural Wood Coffee...
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Error creating embedding for title              Karl home Accent Chair Mid-Century Modern Chai...
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Error creating embedding for title              Kottova Vanity Mirror with Lights,Makeup Mirro...
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Error creating embedding for title              L.R. Resources Corcovado Metallic Braided Pouf...
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Error creating embedding for title              GREENSTELL Coat Rack, Wooden Coat Rack Freesta...
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Error creating embedding for title              COLLECTIVE HOME Mail Organizer with Mirror, Wa...
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Error creating embedding for title              Nightstand with Charging Station and LED Light...
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Error creating embedding for title              Kmitmuk 2 Pack Cabinet Towel Holder, White Kit...
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Error creating embedding for title              GIA Toolix Backless Stool with Metal Seat, Gun...
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Error creating embedding for title              Serta Executive Office Padded Arms, Adjustable...
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Error creating embedding for title              KoiHome Wooden Daybed with 2 Storage Drawers, ...
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Error creating embedding for title              Soerreo Shoe Slot Storage Box Adjustable Shoe ...
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Error creating embedding for title              Jennifer Taylor Home Jacob 18" Storage Cube Ot...
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Error creating embedding for title              C COMFORTLAND Unstuffed Faux Leather Ottoman P...
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Error creating embedding for title              ZZQXTC Over Toilet Storage Cabinet, Bathroom S...
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Error creating embedding for title              40ft Upholstery Elastic Webbing,Two Inch (2") ...
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Error creating embedding for title              GAOMON Black 4 Drawer Dresser for Bedroom, Woo...
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Error creating embedding for title              Furinno Coffee Table with Bins, Espresso/Brown...
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Error creating embedding for title              Bloomingville 15 Inches Mango Wood and Metal O...
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Error creating embedding for title              Small Collapsible Kids Hamper Fold Office Wast...
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Error creating embedding for title              Casual Home Night Owl Nightstand with USB Port...
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Error creating embedding for title              RICOO SQ4965 No-Gap Wall Mount for Samsung® Q7...
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Error creating embedding for title              BRIAN & DANY Foldable Storage Ottoman Footrest...
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Error creating embedding for title              ReplacementScrews Bed Frame Rail Screws Compat...
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Error creating embedding for title              NSFRCLHO Round End Table, Tempered Glass End T...
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Error creating embedding for title              pranovo Metal Sofa Handle Cable Recliner Chair...
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Error creating embedding for title              Stuffed Animal Storage Bean Bag Chair Cover fo...
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Error creating embedding for title              Pinkpum Shoe Ogranizer for Closet, 12 Pack Sho...
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Error creating embedding for title              Kingston Brass SCC8247 Edenscape Pedestal Stee...
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Error creating embedding for title              Chill Sack Bean Bag Chair: Giant 5' Memory Foa...
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Error creating embedding for title              Caroline's Treasures BB5130JMAT Day of The Dea...
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Error creating embedding for title              glitzhome Adjustable Bar Stool Set of 2 Swivel...
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Error creating embedding for title              Symmons 673TR-STN Identity Wall-Mounted Towel ...
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Error creating embedding for title              glitzhome Kitchen Island with Storage Kitchen ...
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Error creating embedding for title              Lipper International Child's Toy Chest, 33.25"...
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Error creating embedding for title              dnbss LED Nightstand with Charging Station, Sw...
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Error creating embedding for title              Remote Control Holder,TV Remote Caddy/Box with...
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Error creating embedding for title              MoNiBloom Foldable Storage Free Standing Shoes...
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Error creating embedding for title              Walker Edison Furniture Modern Round Nesting C...
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Error creating embedding for title              Way Basics Book Shelf 4 Cubby Storage (Tool-fr...
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Error creating embedding for title              Mind Reader Trash Can and Toilet Brush Set, Ba...
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url                             https://www.amazon.com/dp/B0BJ7PQ9XH
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Error creating embedding for title              #4203 Adjustable 1/4" Threaded Non-Skid Leveli...
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url                             https://www.amazon.com/dp/B01M0S28J1
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Error creating embedding for title              Funny Welcome Doormat for Entryway Front Porch...
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Error creating embedding for title              KINGYES Folding Adjustable Backrest Adirondack...
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img_description                                                  NaN
caption                                                          NaN
Name: 298, dtype: object: 'float' object is not iterable
Error creating embedding for title              Leick Home 10109-GR Oval Condo/Apartment Coffe...
primary_image      https://m.media-amazon.com/images/I/31hgF2KPIJ...
style                                              Oval Coffee Table
material                                                        Wood
color                                                     Smoke Gray
url                             https://www.amazon.com/dp/B08KLBTL5R
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 299, dtype: object: 'float' object is not iterable
Error creating embedding for title              Carter's by DaVinci Colby 3-Drawer Dresser in ...
primary_image      https://m.media-amazon.com/images/I/31eTOoDK36...
style                                                            NaN
material                                                  pine, Wood
color                                                           Grey
url                             https://www.amazon.com/dp/B071DZG655
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 300, dtype: object: 'float' object is not iterable
Error creating embedding for title              Modway Baronet Button-Tufted Vegan Leather Par...
primary_image      https://m.media-amazon.com/images/I/31Um2-NPw3...
style                                                   Contemporary
material                                                        Foam
color                                                           Grey
url                             https://www.amazon.com/dp/B0BR8NVGDL
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 301, dtype: object: 'float' object is not iterable
Error creating embedding for title              MOOACE Small Side Table, Round End Table Night...
primary_image      https://m.media-amazon.com/images/I/419Yb6N5yy...
style                                                         Modern
material                                                        Wood
color                                                          Brown
url                             https://www.amazon.com/dp/B0BGL3QXKR
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 302, dtype: object: 'float' object is not iterable
Error creating embedding for title              BYOOTIQUE Makeup Chair Folding Camping Stool C...
primary_image      https://m.media-amazon.com/images/I/511N0PuE9E...
style                                                            NaN
material                                                         NaN
color                                                            NaN
url                             https://www.amazon.com/dp/B0CC4X9SS3
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 303, dtype: object: 'float' object is not iterable
Error creating embedding for title              nimboo Kids Couch - Modular Kids Play Couch Se...
primary_image      https://m.media-amazon.com/images/I/51He1KLeOs...
style                                                            NaN
material                                   High Density Comfort Foam
color                                                Rainbow Unicorn
url                             https://www.amazon.com/dp/B0CLC3XWR6
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 304, dtype: object: 'float' object is not iterable
Error creating embedding for title              LOKKHAN Industrial Bar Table 38.6"-48.4" Heigh...
primary_image      https://m.media-amazon.com/images/I/31uVNZMOnX...
style                                                            NaN
material                               Wood Tabletop,Wooden Tabletop
color                                                         Copper
url                             https://www.amazon.com/dp/B0BVT748HV
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 305, dtype: object: 'float' object is not iterable
Error creating embedding for title              UTONE Gaming Chair Computer Chair Breathable F...
primary_image      https://m.media-amazon.com/images/I/31dCSKQ14Y...
style                                                     Solid Back
material                                                     Textile
color                                                           Pink
url                             https://www.amazon.com/dp/B0CF9F4TQD
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 306, dtype: object: 'float' object is not iterable
Error creating embedding for title              Lexicon Victoria Saddle Wood Bar Stools (Set o...
primary_image      https://m.media-amazon.com/images/I/41CPL03Y-W...
style                                                   Contemporary
material                                                        Wood
color                                                     Black Sand
url                             https://www.amazon.com/dp/B08SLPBC36
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 307, dtype: object: 'float' object is not iterable
Error creating embedding for title              ANZORG Behind Door Hanging Kids Shoes Organize...
primary_image      https://m.media-amazon.com/images/I/31qQ2tZPv-...
style                                                            NaN
material                                            Non Woven Fabric
color                                                     12 Pockets
url                             https://www.amazon.com/dp/B09KN5ZTXC
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 308, dtype: object: 'float' object is not iterable
Error creating embedding for title              Pipishell Full-Motion TV Wall Mount for Most 3...
primary_image      https://m.media-amazon.com/images/I/41TkLI3K2-...
style                                                            NaN
material                                                         NaN
color                                                          Black
url                             https://www.amazon.com/dp/B0BN7T57NK
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 309, dtype: object: 'float' object is not iterable
Error creating embedding for title              Noori Rug Home - Lux Collection Modern Ava Rou...
primary_image      https://m.media-amazon.com/images/I/21Uq9uJEE5...
style                                                           Glam
material                                             Engineered Wood
color                                                 Ivory/Gold Ava
url                             https://www.amazon.com/dp/B097FC9C27
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 310, dtype: object: 'float' object is not iterable
Error creating embedding for title              Modway Parcel Upholstered Fabric Parsons Dinin...
primary_image      https://m.media-amazon.com/images/I/41f8WNXejU...
style                                                         Modern
material                                                        Foam
color                                                          Beige
url                             https://www.amazon.com/dp/B00SMM4H98
keywords                                                         NaN
img_description                                                  NaN
caption                                                          NaN
Name: 311, dtype: object: 'float' object is not iterable

df_search.head()

# Keep only the lines where we have embeddings
df_search = df_search.dropna(subset=['embedding'])
print(df_search.shape)

(50, 10)

data_embeddings_path = "data/items_tagged_and_captioned_embeddings.csv"

# Saving locally for later - optional: do not execute if you prefer to use the provided file
df_search.to_csv(data_embeddings_path, index=False)

# Optional: load data from saved file if you haven't processed the whole dataset
from ast import literal_eval
df_search = pd.read_csv(data_embeddings_path)
df_search["embedding"] = df_search.embedding.apply(literal_eval).apply(np.array)

Search from input text

We can compare the input text from a user directly to the embeddings we just created.

# Searching for N most similar results
def search_from_input_text(query, n = 2):
    embedded_value = get_embedding(query)
    df_search['similarity'] = df_search['embedding'].apply(lambda x: cosine_similarity(np.array(x).reshape(1,-1), np.array(embedded_value).reshape(1, -1)))
    most_similar = df_search.sort_values('similarity', ascending=False).iloc[:n]
    return most_similar

user_inputs = ['shoe storage', 'black metal side table', 'doormat', 'step bookshelf', 'ottoman']

for i in user_inputs:
    print(f"Input: {i}\n")
    res = search_from_input_text(i)
    for index, row in res.iterrows():
        similarity_score = row['similarity']
        if isinstance(similarity_score, np.ndarray):
            similarity_score = similarity_score[0][0]
        print(f"{row['title'][:50]}{'...' if len(row['title']) > 50 else ''} ({row['url']}) - Similarity: {similarity_score:.2f}")
        img = Image(url=row['primary_image'])
        display(img)
        print("\n\n")

Input: shoe storage

GOYMFK 1pc Free Standing Shoe Rack, Multi-layer Me... (https://www.amazon.com/dp/B0CJHKVG6P) - Similarity: 0.57

MAEPA RV Shoe Storage for Bedside - 8 Extra Large ... (https://www.amazon.com/dp/B0C4PL1R3F) - Similarity: 0.55

Input: black metal side table

FLYJOE Narrow Side Table with PU Leather Magazine ... (https://www.amazon.com/dp/B0CHYDTQKN) - Similarity: 0.58

HomePop Metal Accent Table Triangle Base Round Mir... (https://www.amazon.com/dp/B08N5H868H) - Similarity: 0.57

Input: doormat

GXFC ZHAO Welcome Funny Door Mat Shoes and Bras Of... (https://www.amazon.com/dp/B07X61R7N8) - Similarity: 0.52

Pickleball Doormat, Welcome Doormat Absorbent Non-... (https://www.amazon.com/dp/B0C1MRB2M8) - Similarity: 0.49

Input: step bookshelf

Leick Home 70007-WTGD Mixed Metal and Wood Stepped... (https://www.amazon.com/dp/B098KNRNLQ) - Similarity: 0.57

Wildkin Kids Canvas Sling Bookshelf with Storage f... (https://www.amazon.com/dp/B07GBVFZ1Y) - Similarity: 0.46

Input: ottoman

Moroccan Leather Pouf Ottoman for Living Room - Ro... (https://www.amazon.com/dp/B0CP45784G) - Similarity: 0.49

HomePop Home Decor | K2380-YDQY-2 | Luxury Large F... (https://www.amazon.com/dp/B0B94T1TZ1) - Similarity: 0.46

Search from image

If the input is an image, we can find similar images by first turning images into captions, and embedding those captions to compare them to the already created embeddings.

# We'll take a mix of images: some we haven't seen and some that are already in the dataset
example_images = df.iloc[306:]['primary_image'].to_list() + df.iloc[5:10]['primary_image'].to_list()

for i in example_images:
    img_description = describe_image(i, '')
    caption = caption_image(img_description)
    img = Image(url=i)
    print('Input: \n')
    display(img)
    res = search_from_input_text(caption, 1).iloc[0]
    similarity_score = res['similarity']
    if isinstance(similarity_score, np.ndarray):
        similarity_score = similarity_score[0][0]
    print(f"{res['title'][:50]}{'...' if len(res['title']) > 50 else ''} ({res['url']}) - Similarity: {similarity_score:.2f}")
    img_res = Image(url=res['primary_image'])
    display(img_res)
    print("\n\n")

Input:

Black Leather Office Chair Mid Back Leather Desk C... (https://www.amazon.com/dp/B0BVQSPCCF) - Similarity: 0.54

Input:

subrtex Leather ding Room, Dining Chairs Set of 2,... (https://www.amazon.com/dp/B0B66QHB23) - Similarity: 0.52

Input:

MAEPA RV Shoe Storage for Bedside - 8 Extra Large ... (https://www.amazon.com/dp/B0C4PL1R3F) - Similarity: 0.65

Input:

Chief Mfg.Swing-Arm Wall Mount Hardware Mount Blac... (https://www.amazon.com/dp/B007E40Z5K) - Similarity: 0.66

Input:

Homebeez 39.1" Length Bedroom Storage Bench, End B... (https://www.amazon.com/dp/B0BWQ8M4Q3) - Similarity: 0.52

Input:

subrtex Leather ding Room, Dining Chairs Set of 2,... (https://www.amazon.com/dp/B0B66QHB23) - Similarity: 0.51

Input:

LOVMOR 30'' Bathroom Vanity Sink Base Cabine, Stor... (https://www.amazon.com/dp/B0C9WYYFLB) - Similarity: 0.58

Input:

Folews Bathroom Organizer Over The Toilet Storage,... (https://www.amazon.com/dp/B09NZY3R1T) - Similarity: 0.73

Input:

GOYMFK 1pc Free Standing Shoe Rack, Multi-layer Me... (https://www.amazon.com/dp/B0CJHKVG6P) - Similarity: 0.72

Input:

subrtex Leather ding Room, Dining Chairs Set of 2,... (https://www.amazon.com/dp/B0B66QHB23) - Similarity: 0.77

Input:

Plant Repotting Mat MUYETOL Waterproof Transplanti... (https://www.amazon.com/dp/B0BXRTWLYK) - Similarity: 0.64

Wrapping up

In this notebook, we explored how to leverage the multimodal capabilities of gpt-4o-mini to tag and caption images. By providing images along with contextual information to the model, we were able to generate tags and descriptions that can be further refined to create captions. This process has practical applications in various scenarios, particularly in enhancing search functionalities.

The search use case illustrated can be directly applied to applications such as recommendation systems, but the techniques covered in this notebook can be extended beyond items search and used in multiple use cases, for example RAG applications leveraging unstructured image data.

As a next step, you could explore using a combination of rule-based filtering with keywords and embeddings search with captions to retrieve more relevant results.