Welcome to the first competition which I set up. In this competition, you are given a dataset of the container. From this dataset, you will build a classification system to automatically assign the label for the images. 

The data set in this competition is built by the young talent (Zoe and Rebecca). The total of classes in the dataset is six, including Double, Right, Left, Full, Empty, and Unknown. You will train with the train set and predict on the test set.

When you submit a prediction, a 40% subset of it will be evaluated against the true labels and you get a "public score" for some feedback. The final score will be evaluated on the other 60%.

Give it your best shot and have fun!