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TFT Set17 Unit Detector YOLO

YOLO-format unit detector dataset for TFT Set 17 experiments.

This package combines:

  • synthetic board screenshots made from arena textures and modelviewer unit renders
  • clean multi-angle modelviewer unit reference images

The dataset is intended for training a single-class unit object detector.

Structure

images/train/*.jpg
images/val/*.jpg
labels/train/*.txt
labels/val/*.txt
data.yaml
classes.txt
manifest.json

Counts

  • total images: 5240
  • total boxes: 18014
  • train images: 4716
  • val images: 524
  • classes: unit

Training

yolo detect train data=data.yaml model=yolo11n.pt imgsz=960 epochs=50

Notes

This is a synthetic/research dataset. Teamfight Tactics and League of Legends assets belong to Riot Games. This dataset is not affiliated with or endorsed by Riot Games. If uploading publicly is not appropriate for your use case, create the Hugging Face repository as private.

Target repository placeholder: <your-username>/tft-set17-unit-detector-yolo

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