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，该数据集通过在液晶显示器（Liquid Crystal Display, LCD）上播放CIFAR-10数据集（http://www.cs.toronto.edu/~kriz/cifar.html）的动态图像生成。本数据集可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滤波器对上述录制数据进行可视化展示。http://www2.imse-cnm.csic.es/caviar/MNIST_DVS/ 中提供的`dat2mat.m`与`mat2dat.m`脚本，可实现jAER格式（.dat或.aedat）与MATLAB格式之间的事件列表转换。
若您计划使用本数据集，请引用如下文献：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
本次录制所采用的高灵敏度动态视觉传感器（Dynamic Vision Sensor, DVS）相关文献如下：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
本次实验将一台128×128像素的DVS传感器置于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个分类（飞机、汽车、鸟类、猫、鹿、狗、青蛙、马、船舶、卡车）下的共计10000条事件流录制数据，每个分类包含1000条录制样本。