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CropGuard GH — Dataset Kit

Everything you need to assemble the training dataset and understand both systems.

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.

Quick path

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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