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metadata
title: Weed Detection
emoji: π
colorFrom: green
colorTo: purple
sdk: gradio
sdk_version: 5.25.2
app_file: app.py
pinned: false
YOLOv11M Weed Detection Model πΎ
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.
π 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