Cassava Data Collection

Peter discusses the challenges of collecting cassava data for AI model training, highlighting the difficulty in obtaining accurate ground truth labels due to varying symptoms and co-infections. The data set used for the final model consisted of around 2200 high-quality images out of a total of 15,000 collected images.