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@@ -28,8 +28,68 @@ dataset_info:
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  num_bytes: 611741947.222
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  num_examples: 3809
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  - name: test
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- num_bytes: 153961285.0
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  num_examples: 961
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  download_size: 688922167
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  dataset_size: 765703232.222
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  num_bytes: 611741947.222
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  num_examples: 3809
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  - name: test
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+ num_bytes: 153961285
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  num_examples: 961
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  download_size: 688922167
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  dataset_size: 765703232.222
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+ task_categories:
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+ - image-classification
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+ language:
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+ - en
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+ pretty_name: indian-foods
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+ size_categories:
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+ - 1K<n<10K
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  ---
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+
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+ # Dataset Card for Indian Foods Dataset
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** https://www.kaggle.com/datasets/anshulmehtakaggl/themassiveindianfooddataset
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+ - **Repository:** https://www.kaggle.com/datasets/anshulmehtakaggl/themassiveindianfooddataset
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+ - **Paper:**
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+ - **Leaderboard:**
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+ - **Point of Contact:** https://www.kaggle.com/anshulmehtakaggl
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+
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+ ### Dataset Summary
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+
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+ This is a multi-category(multi-class classification) related Indian food dataset showcasing [The-massive-Indian-Food-Dataset](https://www.kaggle.com/datasets/anshulmehtakaggl/themassiveindianfooddataset).
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+ This card has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ [More Information Needed]
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+
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+ ### Languages
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+
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+ English
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+
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+ ## Dataset Structure
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+ ```json
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+ {
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+ "image": <PIL image of the food item>
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+ "label": class
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+ }
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+ ```
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+ where the categories are one of `biryani, cholebhature, jalebi, kofta, naan, paneer, panipuri, pavbhaji, dabeli, dhokla, dosa, kathiroll, pakora, vadapav`
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+ ### Data Instances
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+
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+ Each instance is a picture of the Indian food item,along with the category it belongs to.
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+
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+ #### Initial Data Collection and Normalization
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+
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+ Collection by Scraping data from Google Images + Leveraging some JS Functions.
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+ All the images are resized to (300,300) to maintain size uniformity.
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+
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+ ### Dataset Curators
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+
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+ [Anshul Mehta](https://www.kaggle.com/anshulmehtakaggl)
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+
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+ ### Licensing Information
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+
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+ [CC0: Public Domain](https://creativecommons.org/publicdomain/zero/1.0/)
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+
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+ ### Citation Information
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+
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+ [The Massive Indian Foods Dataset](https://www.kaggle.com/datasets/anshulmehtakaggl/themassiveindianfooddataset)