Street Scences数据集

Street Scences数据集

The StreetScenes Challenge Framework is a collection of images, annotations, software and performance measures for object detection.  Each image was taken from a DSC-F717 camera at in and around Boston, MA.  Each image was then labeled by hand with polygons surrounding each example of 9 object categories, including [cars, pedestrians, bicycles, buildings, trees, skies, roads, sidewalks, and stores].  The labeling of these images was done under scrutiny to ensure that objects were always labeled in the same way, with regard to occlusions and other common image transforms.   StreetScenes labels are also compatible with LabelMe annotations, with a one to one conversion tool, provided here.  For more information on the collection of the data, see Stanely Bileschi’s Thesis.

译：

StreetScenes Challenge Framework是用于目标检测的图像、注释、软件和性能度量的集合。每一张图片都是从马萨诸塞州波士顿及其周边地区的DSC-F717相机拍摄的。然后，每个图像都被手工标记为围绕着9个对象类别的多边形，包括[汽车、行人、自行车、建筑物、树木、天空、道路、人行道和商店]。这些图像的标记是在仔细检查下完成的，以确保对象总是以相同的方式标记，关于遮挡和其他常见的图像变换。StreetScenes标签也与LabelMe注释兼容，这里提供了一个一对一的转换工具。有关数据收集的更多信息，请参阅Stanly Bileschi的论文。

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