| # CropGuard GH — Dataset Kit |
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| Everything you need to assemble the training dataset and understand both systems. |
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|
| ## Contents |
| - **DATASET_GUIDE.md** — which datasets to download, from where, under what licence, how they map to the 55 classes, and how to build the `data/` folder. **Start here.** |
| - **class_names.txt** — the canonical 55 class names (must match the training folders and `recommendations.json`). |
| - **scripts/download_dataset.py** — lists every source, auto-downloads the Kaggle sets, prints manual links for the rest. |
| - **scripts/prepare_dataset.py** — maps the downloaded raw folders into the 55 class folders and splits 70/15/15 into `train/val/test`. |
| - **docs/STANDALONE_HTML_DOCUMENTATION.md** — full docs for the single-file browser app (`cropguard.html`). |
| - **docs/BACKEND_SYSTEM_DOCUMENTATION.md** — full docs for the training + FastAPI + React stack. |
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|
| ## Quick path |
| ```bash |
| python scripts/download_dataset.py --out ./raw_downloads # then unzip everything |
| python scripts/prepare_dataset.py --raw ./raw_downloads --out ./data |
| cd ../cropguard-system/backend && python train.py --data ../../data --arch efficientnet |
| ``` |
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