ProductPicClass / README.md
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metadata
license: mit
tags:
  - infinite-dataset-hub
  - synthetic

ProductPicClass

tags: product, classification, photography

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'ProductPicClass' dataset comprises various product photography images that have been categorized into classes based on the product type. The dataset is designed to aid machine learning practitioners in developing classification models that can automatically identify and categorize products from images.

Each row in the dataset corresponds to a product photo with an associated class label. The columns include 'Image_ID', 'Image_URL', 'Product_Type', and 'Label'. 'Image_ID' is a unique identifier for each image, 'Image_URL' is the link to the image, 'Product_Type' specifies the type of product shown in the image, and 'Label' denotes the classification assigned to the image.

CSV Content Preview:

Image_ID,Image_URL,Product_Type,Label
1,https://example.com/images/product1.jpg,Kitchenware,Utensils
2,https://example.com/images/product2.jpg,Electronics,Smartphones
3,https://example.com/images/product3.jpg,Apparel,Footwear
4,https://example.com/images/product4.jpg,Beauty,Makeup
5,https://example.com/images/product5.jpg,Apparel,Clothing

In this preview, the dataset includes five entries. Each entry has a unique identifier, a URL to the corresponding product photo, the type of product depicted in the image, and a label that classifies the image according to its content. For instance, the first entry has an image of kitchenware utensils, while the second features a smartphone, and so on.

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'product photography':