Datasets for face and object detection in fisheye images

被引：10
|
作者：
Fu, Jianglin [1 ]
Bajic, Ivan V. [1 ]
Vaughan, Rodney G. [1 ]
机构：
[1] Simon Fraser Univ, Sch Engn Sci, Burnaby, BC V5A 1S6, Canada
来源：
DATA IN BRIEF | 2019年 / 27卷
基金：
加拿大自然科学与工程研究理事会;
关键词：
Face detection; Object detection; Fisheye image; Deep learning;
D O I：
10.1016/j.dib.2019.104752
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
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. (C) 2019 The Author(s). Published by Elsevier Inc.
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页数：5
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