Instructions to use sujinwo/yolov8s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use sujinwo/yolov8s with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("sujinwo/yolov8s") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
YOLOv8 Candlestick Pattern Detector
Deteksi 10 pola candlestick + ICT/SMC confluence patterns.
Classes
- pinbar | 1. support_touch | 2. resistance_touch | 3. engulfing
- fvg | 5. order_block | 6. bos_choch | 7. liquidity_sweep
- ote_zone | 9. session_fvg
Performance
- mAP50: 0.4343765607990103
- mAP50-95: 0.35635376991081896
- Precision: 0.6997218799560716
- Recall: 0.417455177697075
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