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