This repository contains my solution for the Kaggle Plant Seedlings Classification Contest
- Trained on 4 models : Xception, InceptionV3, ResNet50 and InceptionResNetV2 with different hyperparameters
- InceptionResNetV2 gave the best LB, followed by Xception
- Averaged the output predictions of InceptionResNetV2 and Xception, which did not result in a considerable improvement
- Stacking using XGBoost
- Segmenting plants from background and training on segmented images (WIP)
- Aggresive Data Augmentation worked like a charm
- Larger image dimensions ((300,300), (400,400)) improved LB