IBM Research
This dataset was used to build the real-time, gesture recognition system described in the CVPR 2017 paper titled “A Low Power, Fully Event-Based Gesture Recognition System.” The data was recorded using a DVS128. The dataset contains 11 hand gestures from 29 subjects under 3 illumination conditions and is released under a Creative Commons Attribution 4.0 license….
Applied Brain Research
This dataset contains power benchmarking code for running a simple two-layer, 256-neuron-per-layer neural network keyword spotter on both neuromorphic and conventional hardware devices….
Perception and Robotics Group, University of Maryland
a collection of indoor datasets for motion segmentation and ego-motion estimation gathered with a variety of event-based sensors. The dataset features 6 DoF poses for Camera and Independently Moving Objects updated at 200 Hz, and pixel-wise object masks at 40 Hz. Depth maps and classical camera frames are also available for most sequences….
Garrick Orchard and others
A spiking version of the original frame-based Caltech101 dataset. The N-Caltech101 dataset was captured by mounting the ATIS sensor on a motorized pan-tilt unit and having the sensor move while it views Caltech101 examples on an LCD monitor as shown in the video below….