CIFAR10-DVS

This folder contains the neuromorphic vision dataset named as 'CIFAR10-DVS' obtained by displaying the moving images of the CIFAR-10 dataset (http://www.cs.toronto.edu/~kriz/cifar.html) on a LCD monitor. The dataset is used for event-driven scene classification and pattern recognition. These recordings can be displayed using the jAER software (http://sourceforge.net/p/jaer/wiki/Home) using filters DVS128. The files "dat2mat.m" and "mat2dat.m" in (http://www2.imse-cnm.csic.es/caviar/MNIST_DVS/) can be used to transfer lists of events between jAER format (.dat or .aedat) and matlab. Please cite it if you intend to use this dataset. Li H, Liu H, Ji X, Li G and Shi L (2017) CIFAR10-DVS: An Event-Stream Dataset for Object Classification. Front. Neurosci. 11:309. doi: 10.3389/fnins.2017.00309 The high-sensitivity DVS used in the recording reported in:P. Lichtsteiner, C. Posch, and T. Delbruck, “A 128×128 120 dB 15 μs latency asynchronous temporal contrast vision sensor,” IEEE J. Solid-State Circuits, vol. 43, no. 2, pp. 566–576, Feb. 2008 A single 128x128 pixel DVS sensor was placed in front of a 24" LCD monitor. Images of CIFAR-10 were upscaled to 512 * 512 through bicubic interpolation, and displayed on the LCD monitor with circulating smooth movement. A total of 10,000 event-stream recordings in 10 classes(airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck) with 1000 recordings per classes were obtained.

本文件夹包含名为CIFAR10-DVS的神经形态视觉数据集（neuromorphic vision dataset），该数据集通过在LCD显示器上播放CIFAR-10数据集（http://www.cs.toronto.edu/~kriz/cifar.html）的动态图像生成。本数据集适用于事件驱动场景分类与模式识别任务。
可使用jAER软件（http://sourceforge.net/p/jaer/wiki/Home）配合DVS128滤波器对上述记录数据进行可视化。可通过http://www2.imse-cnm.csic.es/caviar/MNIST_DVS/ 提供的"dat2mat.m"与"mat2dat.m"脚本，实现jAER格式（.dat或.aedat）事件列表与Matlab格式间的相互转换。
若您计划使用该数据集，请引用以下文献：Li H, Liu H, Ji X, Li G and Shi L (2017) CIFAR10-DVS: An Event-Stream Dataset for Object Classification. Front. Neurosci. 11:309. doi: 10.3389/fnins.2017.00309。本记录所使用的高灵敏度DVS（Dynamic Vision Sensor）传感器相关文献为：P. Lichtsteiner, C. Posch, and T. Delbruck, "A 128×128 120 dB 15 μs latency asynchronous temporal contrast vision sensor," IEEE J. Solid-State Circuits, vol. 43, no. 2, pp. 566–576, Feb. 2008。
实验采用一台128×128像素的DVS传感器，放置于24英寸LCD显示器前方。CIFAR-10图像通过双三次插值放大至512×512分辨率，并以循环平滑运动的方式在LCD显示器上播放。最终共获取10个类别（飞机、汽车、鸟类、猫、鹿、狗、青蛙、马、船舶、卡车）下的共10000条事件流记录，每个类别包含1000条记录。

搜集汇总

背景与挑战

背景概述

CIFAR10-DVS是一个神经形态视觉数据集，通过动态展示CIFAR-10图像并记录事件流生成，包含10个类别的10,000个记录，适用于事件驱动的场景分类和模式识别任务。