My Study for data science and artificial intelligence
- Artificial Intelligence (AI)
- Python (3.12)
- YOLO V8
- Stratification Dataset
- Sklearn
- Train: 80%
- Validate: 10%
- Test: 10%
Network: yolov8n.pt
# Train
yolo mode=train task=detect model=yolov8n.pt data=$(pwd)/dataset/data.yaml epochs=150 cache=ram batch=-1 imgsz=640 degrees=+180
# Validate
yolo mode=val task=detect model=$(pwd)/runs/detect/train/weights/best.onnx data=$(pwd)/dataset/data.yaml
# Test
yolo mode=predict task=detect model=$(pwd)/runs/detect/train/weights/best.onnx source=$(pwd)/dataset/test/images conf=0.5 imgsz=650
Network: yolov8s.pt
# Train
yolo mode=train task=detect model=yolov8s.pt data=$(pwd)/dataset2/data.yaml epochs=120 cache=ram batch=-1 imgsz=640 degrees=+180
# Validate
yolo mode=val task=detect model=$(pwd)/runs2/detect/train/weights/best.onnx data=$(pwd)/dataset2/data.yaml
# Test
yolo mode=predict task=detect model=$(pwd)/runs2/detect/train/weights/best.onnx source=$(pwd)/dataset2/test/images conf=0.5 imgsz=650
Network: /runs/detect/train/weights/bets.pt
# Train
yolo mode=train task=detect model=$(pwd)/runs/detect/train/weights/bets.pt data=$(pwd)/dataset2/data.yaml epochs=120 cache=ram batch=-1 imgsz=640 degrees=+180
# Validate
yolo mode=val task=detect model=$(pwd)/runs3/detect/train/weights/best.onnx data=$(pwd)/dataset2/data.yaml
# Test
yolo mode=predict task=detect model=$(pwd)/runs3/detect/train/weights/best.onnx source=$(pwd)/dataset2/test/images conf=0.5 imgsz=650