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End of preview. Expand in Data Studio
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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