The task is predicting categories of leaf images. This dataset contains 176 categories, 18353 training images, 8800 test images. Each category has at least 50 images for training. The test set is split evenly into the public and private leaderboard.

The evaluation metric for this competition is [Classification Accuracy](https://www.kaggle.com/vipulgandhi/how-to-choose-right-metric-for-evaluating-ml-model). 

Good luck and have fun!