Training artifacts — CueDetat pool/pocket detector

How MASTER_POOL_MODEL.tflite (the deployed detector) was produced.

cuedetat_pocket_detector_kaggle.py / .ipynb — Kaggle re-train of the YOLOv8n pocket/pool detector. Inputs: Kaggle datasets hereliesaz/cue-detat and diveshcrazy/pool-table-balls-classification.
args.yaml — Ultralytics training configuration.
best.pt — trained PyTorch checkpoint (resumable / re-exportable).
best.onnx — ONNX export.
best_float16.tflite — FP16 TFLite export (the form shipped, concatenated into the master file).

License: AGPL-3.0 (Ultralytics-derived).