The SmallNORB dataset is a real-world stereo image dataset designed for benchmarking algorithms in disentangled representation learning and unsupervised representation learning. It was introduced by LeCun et al. (2004) for evaluating generic object recognition with invariance to pose and lighting.
Unlike synthetic datasets such as dSprites or MPI3D, which are generated as a complete Cartesian product of factors (i.e. every… See the full description on the dataset page: https://huggingface.co/datasets/galilai-group/small-norb.
