This is a flask backend with a custom model with a simple nextjs frontend that allows you to drag and drop or select files for upload for maize tassel detection.
Winner of CUCAI 2023, the largest Canadian Undergrad Conference in AI.
Partnered with Distributive and University of Nairobi to deliver a solution to accelerate the yield estimation process for maize farmers. They used to count them manually!
Paper Published in Cucai Proceedings 2023 "Creating a Corn Yield Esimator: A Deep Learning Approach via UAV Imagery"
More detail can be found in Backend Readme and Frontend Readme
- Clone the repository
- Setup the backend via Backend Readme
- Setup the frontend via Frontend Readme
Open http://localhost:3000 with your browser to interact with the app.
(Endpoints are hosted at http://localhost:5000)