Technologies Used - ARUNIMO/plant-disease-cnn GitHub Wiki

A detailed page explaining the tech stack.

Technologies Used in Plant Vision ResNet50: A 50-layer deep learning model used for image classification, leveraging residual learning. Keras/TensorFlow/PyTorch: The neural network framework used to train and deploy the model. Flask/Django: Backend frameworks that power the web application. OpenCV: Used for preprocessing the images before feeding them into the model.