Dataset Analysis & CNN Models Optimization for Plant Disease Classification.

Apple Tree Diseases Predication using Image Classification

This project aims at applying computer vision techniques to plant pathology diagnosis. We use state-of-the-art architectures in different settings of the parameters and the datasets. We compare our results to those of Kaggle participants who had access to a competition based on the same dataset of our project.

Contains my kaggle kernels

Kaggle competition ‘Plant Pathology Challenge’ for FGVC7 workshop at CVPR 2020 in Seattle, Washington State

ML course project, including data analysis part, implement network and final submission (with accuracy around 0.94).