The data was collected by ~1000 taskers from Kenya, Mexico and India. There are nine classes, each a different sign.
The objective of this competition is to classify the nine different Sign Language signs 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 ‘Img_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 ‘Img_ID’ must be correct.