Datasets for Face and Object Detection in Fisheye Images

TL;DR

This paper introduces two new large-scale fisheye image datasets, VOC-360 and Wider-360, created by transforming existing datasets to support training and evaluating face and object detection models in fisheye images.

Contribution

The authors present two novel datasets, VOC-360 and Wider-360, generated by post-processing regular images to fisheye format, facilitating research in fisheye image analysis.

Findings

Datasets contain 39,575 and 63,897 images respectively.

Datasets support training for detection, segmentation, and classification.

Useful for developing fisheye-specific detection and segmentation models.

Abstract

We present two new fisheye image datasets for training face and object 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.