The Omniglot data set is designed for developing more human-like learning algorithms. It contains 1623 different handwritten characters from 50 different alphabets. Each of the 1623 characters was drawn online via Amazon's Mechanical Turk by 20 different people. Each image is paired with stroke data, a sequences of [x,y,t] coordinates with time (t) in milliseconds.
83 PAPERS • 15 BENCHMARKS
One-Shot Affordance Part Segmentation variant of the UMD dataset. Each object instance in the dataset contains a single image.
1 PAPER • 14 BENCHMARKS