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smmk47/weed_detection

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YOLOv11M Weed Detection Model ๐ŸŒพ

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.


๐Ÿ“ Files Included

  • โ€”best.pt: Trained YOLOv11m model weights.
  • โ€”args.yaml: Configuration file used during training.
  • โ€”app.py: Python script to handle inference requests.
  • โ€”requirements.txt: Python dependencies.

Dataset

  • โ€”2 classes : wheat and weed
  • โ€”1600 images augmented to approx 6000
  • โ€” Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference