| # 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). | |