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| # Data | |
| This folder documents the dataset layout for the Smart Plate computer vision workflow. | |
| The original dataset should not be committed to GitHub because image datasets are usually | |
| large and may have separate license or usage terms. | |
| ## Source | |
| - Dataset: Kaggle Indian Food Images Dataset | |
| - Classes: 80 Indian food categories | |
| - Images: 4,000 total | |
| - Images per class: 50 | |
| ## Expected Raw Data Layout | |
| Place downloaded images under `data/raw/` or update the notebook/config path to match your | |
| local dataset location. | |
| ```text | |
| data/raw/ | |
| `-- Indian Food Images/ | |
| `-- Indian Food Images/ | |
| |-- biryani/ | |
| | |-- image_1.jpg | |
| | `-- image_2.jpg | |
| |-- jalebi/ | |
| `-- ... | |
| ``` | |
| ## Processed Data | |
| Use `data/processed/` for generated CSV files, encoded labels, train/test split files, or | |
| cached preprocessing outputs. | |
| The current notebook builds the dataset from image folders and performs preprocessing in | |
| memory using HuggingFace Datasets and torchvision transforms. | |