Object Detection
ultralytics
ONNX
yolo11
onnxruntime
casino-chips
chip-detection
casino
live-game-defender
Eval Results (legacy)
Instructions to use sroot/lgd-chips-gen2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use sroot/lgd-chips-gen2 with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("sroot/lgd-chips-gen2") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
File size: 553 Bytes
9417497 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | {
"classes": [
"chip_black",
"chip_green",
"chip_pink",
"chip_purple",
"chip_yellow"
],
"counts": {
"train": {
"pos": 1143,
"neg": 217,
"empty_avail": 217
},
"val": {
"pos": 30,
"neg": 0,
"empty_avail": 0
}
},
"class_instances": {
"chip_green": 518,
"chip_purple": 348,
"chip_black": 5100,
"chip_yellow": 469,
"chip_pink": 332
},
"map50_internal": 0.7013,
"map50_95_internal": 0.2256,
"val_video": "uth_1",
"epochs": 60,
"seconds": 352.8
} |