smmk47/weed_detection
0
YOLOv11M Weed Detection Model ๐พ
This repository contains a YOLOv11M object detection model trained to detect weeds in wheat fields using a custom dataset collected in 2024. It was trained for agricultural use-cases like smart farming and crop monitoring.
๐ Files Included
- best.pt: Trained YOLOv11m model weights.
- args.yaml: Configuration file used during training.
- app.py: Python script to handle inference requests.
- requirements.txt: Python dependencies.
Dataset
- 2 classes : wheat and weed
- 1600 images augmented to approx 6000
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
