STL-10 Dataset


Inspired by the CIFAR-10 dataset, STL-10 is an image recognition dataset for the development of unsupervised machine and feature learning as well as deep learning algorithms. Each class has fewer number of labeled training examples compared to CIFAR-10, and a large set of unlabeled samples is provided to learn image models prior to training the models. The primary challenge is to utilize the unlabeled data. With the higher resolution (96x96) of this dataset, it is expected that will be a more challenging benchmark to attain when developing such scalable unsupervised ML models.