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My solution for Kaggle's Plant Seedlings Classification contest.

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Plant Seedlings Classification

This repository contains my solution for the Kaggle Plant Seedlings Classification Contest

Description

Models

  • Trained on 4 models : Xception, InceptionV3, ResNet50 and InceptionResNetV2 with different hyperparameters
  • InceptionResNetV2 gave the best LB, followed by Xception

Ensembles

  • Averaged the output predictions of InceptionResNetV2 and Xception, which did not result in a considerable improvement
  • Stacking using XGBoost

Experimental

  • Segmenting plants from background and training on segmented images (WIP)

What worked

  • Aggresive Data Augmentation worked like a charm
  • Larger image dimensions ((300,300), (400,400)) improved LB

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My solution for Kaggle's Plant Seedlings Classification contest.

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