The data was collected from seas of by 100 x 100 pixels of each image. There are about ~34 000 images split into train and test.
The objective of this competition is to classify the 5 types of coral present in the images using machine learning or deep learning algorithms.
Files available for download:
Images.zip: is a zip file that contains all images in test and train.
Train.csv: contains the target. This is the dataset that you will use to train your model.
Test.csv: resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.
SampleSubmission.csv: shows the submission format for this competition, with the ‘Image_ID’ column mirroring that of Test.csv and the ‘label’ column containing your predictions. The order of the rows does not matter, but the names of the ‘Image_ID’ must be correct.