cosmic1112/Apple_YOLO_cls

Apple YOLO Classification Model

This is a YOLOv8 classification model trained for detecting Apple plant diseases.

Model Details

• Task: Image Classification
• Model Type: YOLOv8 Classification
• Training Dataset: Apple disease images
• Framework: Ultralytics YOLOv8

Files

• weights/best.pt - Best performing model weights (PyTorch)
• weights/best.onnx - ONNX format for cross-platform inference
• weights/last.pt - Last epoch model weights
• weights/best.torchscript - TorchScript format
• args.yaml - Training configuration
• results.csv - Training results

Usage with YOLOv8

python
from ultralytics import YOLO

# Load model
model = YOLO('best.pt')

# Predict
results = model('path/to/image.jpg')

Usage with ONNX

python
import onnxruntime as ort

# Load ONNX model
session = ort.InferenceSession('best.onnx')
# Run inference...

Citation

If you use this model, please cite the original work.

License

MIT License