N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-temporal Sparse Few-shot Learning
N-Omniglot is a large neuromorphic few-shot learning dataset. It reconstructs strokes of Omniglot as videos and uses Davis346 to capture the writing of the characters. The recordings can be displayed using DV software's playback function (https://inivation.gitlab.io/dv/dv-docs/docs/getting-started.html). N-Omniglot is sparse and has little similarity between frames. It can be used for event-driven pattern recognition, few-shot learning and stroke generation.
It is a neuromorphic event dataset composed of 1623 handwritten characters obtained by the neuromorphic camera Davis346. Each type of character contains handwritten samples of 20 different participants. The file structure and sample can be found in the corresponding PNG file. The dataset has been plugged into the BrainCog framework.
Project: https://www.brain-cog.network/dataset/N-Omniglot/
