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.<br>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.<br><b><i>Please cite it if you intend to use this dataset.</i></b><b><i> 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</i></b><br><br><br>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<br>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，该数据集通过在液晶显示器（LCD）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的场景分类与模式识别任务。
可通过jAER软件（http://sourceforge.net/p/jaer/wiki/Home）搭配DVS128滤波器对该记录数据进行可视化展示。可通过http://www2.imse-cnm.csic.es/caviar/MNIST_DVS/ 中的`dat2mat.m`与`mat2dat.m`脚本，实现jAER格式（.dat或.aedat）事件列表与MATLAB环境间的格式转换。
<b><i>若您使用本数据集，请务必引用该文献。</i></b><b><i>Li H, Liu H, Ji X, Li G 与 Shi L (2017) CIFAR10-DVS：面向物体分类的事件流数据集. *Frontiers in Neuroscience* 11:309. DOI: 10.3389/fnins.2017.00309</i></b>

本记录所使用的高灵敏度动态视觉传感器（Dynamic Vision Sensor, DVS）出自以下文献：P. Lichtsteiner、C. Posch与T. Delbruck，“一款128×128分辨率、120dB动态范围、15μs延迟的异步时间对比视觉传感器”，*IEEE Journal of Solid-State Circuits*，第43卷第2期，第566-576页，2008年2月。
实验中，将一台128×128像素的DVS传感器放置于24英寸LCD显示器前方。将CIFAR-10数据集的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10000条事件流记录，每类各1000条。

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，通过动态显示CIFAR-10图像生成10类共10,000个事件流记录，用于事件驱动的场景分类和模式识别。数据集支持jAER和MATLAB工具处理，适用于计算机视觉和数据库管理领域的研究。