You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This project was part of the Kaggle Cassava Leaf Disease Classification competition. This was an image classification competition in which I built a machine learning model capable of classifying images of Cassava leaves into one of five different categories. This project used transfer learning, fine-tuning an EfficientNetB3.
Code for the Kaggle Cassava Leaf Disease Classification Competition
Competition Results
Top 11% - 420 / 3900
Techniques Used
Image augmentation
Time Test Augmentation (TTA)
K-Folding
Model Ensembling
Tested various loss functions
About
This project was part of the Kaggle Cassava Leaf Disease Classification competition. This was an image classification competition in which I built a machine learning model capable of classifying images of Cassava leaves into one of five different categories. This project used transfer learning, fine-tuning an EfficientNetB3.