The data was collected by ~1000 taskers from Kenya, Mexico and India. There are nine classes, each a different sign.
How to use Colab on Zindi
How to mount a drive on Colab
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
Description
Files
This 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.
This is a zip file that contains all images in test and train.
This is a starter notebook to help you make your first submission on Zindi!
This file contains the target. This is the dataset that you will use to train your model.
This file contains the image IDs you will need to test your model on.
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