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Datasets for face and object detection in fisheye images

机译:Fisheye图像中面部和对象检测的数据集

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摘要

We present two new fisheye image datasets for training object and face detection models: VOC-360 and Wider-360. The fisheye images are created by post-processing regular images collected from two well-known datasets, VOC2012 and Wider Face, using a model for mapping regular to fisheye images implemented in Matlab. VOC-360 contains 39,575 fisheye images for object detection, segmentation, and classification. Wider-360 contains 63,897 fisheye images for face detection. These datasets will be useful for developing face and object detectors as well as segmentation modules for fisheye images while the efforts to collect and manually annotate true fisheye images are underway. Keywords: Face detection, Object detection, Fisheye image, Deep learning
机译:我们为训练对象和面部检测模型提供了两种新的鱼眼图像数据集:VOC-360和WERD-360。使用用于在Matlab中实现的Fisheye图像的模型,通过从两个众所周知的数据集,VOC2012和更广泛的面对收集的常规图像来创建Fisheye图像。 VOC-360包含39,575个Fisheye图像,用于对象检测,分割和分类。更广泛的360包含63,897个Fisheye图像,用于面部检测。这些数据集将用于开发面部和对象探测器以及用于鱼眼图像的分割模块,同时正在进行收集和手动注释真实的鱼眼图像的努力。关键词:面部检测,对象检测,鱼眼图像,深度学习

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