Tomato Ripeness Detection

A YOLO-based deep learning model that detects tomato growth and ripeness stages (bud, flower, green, orange, red) from images, originally built for a mobile application and now available here as an interactive demo.

Technologies: Python, OpenCV, YOLO, PyTorch, Android (Kotlin), FastAPI

The related paper is currently under review, so the trained model is kept private and the live demo below requires a password.