PalmOilRipenessDetection-Python/train_palm.py

from ultralytics import YOLO

def main():
    # 1. Load the YOLO26n model (Nano version for Mobile)
    model = YOLO("yolo26n.pt") 

    # 2. Start Training
    model.train(
        data="data.yaml",      # Points to your unified_dataset
        epochs=100,            # 100 is a good baseline for R&D
        imgsz=640,             # Standard mobile resolution
        batch=16,              # Adjust based on your GPU VRAM
        name="palm_health_v1", # Folder name for results
        device=0,              # Use '0' for NVIDIA GPU, or 'cpu'
        patience=20            # Stops early if the model stops improving
    )

if __name__ == '__main__':
    main()