Weeds in crops are every farmer's nightmare and removing them is a very time consuming and labor intensive job. This web app can assist farmer's in detecting weeds among acres of land with the motivation to save time and energy.
The idea was inspired from a Youtube video (see references) and Blue River Technology is a well known organisation for implementing such technology.
Live demo of the app hosted on streamlit:
Install using a Python virtual environment and pip. Need to clone the yolov5 repo as well
git clone https://github.com/ultralytics/yolov5
cd yolov5
pip install -qr requirements.txt
Change the path of the weights in app.py
To deploy this project run
streamlit run app.py
The trained weights can be found in releases