Datasets for face and object detection in fisheye images
By Jianglin Fu, I. Bajić, R. Vaughan. 2019
25 citations recorded by the source corpus.
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.
Subfields: Computer Vision and Pattern Recognition, Ecology, Molecular Biology, Oceanography, Evaluation & Benchmarks
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In Computer Vision and Pattern Recognition
- Kristen Grauman
- Luc Van Gool
- Jitendra Malik
- Trevor Darrell
- Andrew Zisserman
- Cordelia Schmid
- Dacheng Tao
- Ming-Hsuan Yang
In Molecular Biology
- Jitendra Malik
- Antonio Torralba
- Aude Oliva
- James M. Rehg
- Chen Zhao
- Lorenzo Torresani
- Dhruv Batra
- Kristen Grauman
In Evaluation & Benchmarks
- Kristen Grauman
- Jitendra Malik
- Giovanni Maria Farinella
- Antonino Furnari
- Antonio Torralba
- Dima Damen
- Aude Oliva
- Tushar Nagarajan
Citations in the corpus
- Ego4D: Around the World in 3,000 Hours of Egocentric Video (2021, background): “[73] Jianglin Fu, Ivan V Bajić, and Rodney G Vaughan.”