Overview
This assignment concerns the automated classification of images through machine learning techniques. We will work on butterfly data, where training samples and their ground truth are provided. We will develop suitable classification techniques that will make predictions on unseen test data. The performance will be measured upon submission of the prediction results. A leaderboard will be published after each submission. We need to use your URN as the Team Name on the Kaggle page.
Dataset
Overview
This is a dataset about Butterfly, and there are 23 types of butterflies in this dataset that need to be classified.
Dataset Size
Training set: 10270 images
Testing set: 15009 images
Training and Testing Data
We will provide the images and labels for the training set and images for the testing set.
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