WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving
| Autor: | Christian Witt, Ganesh Sistu, Derek O'Dea, Patrick Pérez, Saquib Mansoor, Karl Amende, Xavier Perrotton, Sumanth Chennupati, Hazem Rashed, Michal Uricar, Senthil Yogamani, Jonathan Horgan, Stefan Milz, Padraig Varley, Martin Simon, Sanjaya Nayak, Ciaran Hughes |
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| Rok vydání: | 2019 |
| Předmět: |
FOS: Computer and information sciences
0209 industrial biotechnology Computer Science - Machine Learning Computer science Computer Science - Artificial Intelligence Computer Vision and Pattern Recognition (cs.CV) Computer Science - Computer Vision and Pattern Recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Machine Learning (stat.ML) 02 engineering and technology Machine Learning (cs.LG) Computer Science - Robotics 020901 industrial engineering & automation Minimum bounding box Statistics - Machine Learning 0202 electrical engineering electronic engineering information engineering Computer vision Segmentation business.industry Task (computing) Artificial Intelligence (cs.AI) 020201 artificial intelligence & image processing Augmented reality Artificial intelligence business Robotics (cs.RO) |
| Zdroj: | ICCV |
| DOI: | 10.48550/arxiv.1905.01489 |
| Popis: | Fisheye cameras are commonly employed for obtaining a large field of view in surveillance, augmented reality and in particular automotive applications. In spite of their prevalence, there are few public datasets for detailed evaluation of computer vision algorithms on fisheye images. We release the first extensive fisheye automotive dataset, WoodScape, named after Robert Wood who invented the fisheye camera in 1906. WoodScape comprises of four surround view cameras and nine tasks including segmentation, depth estimation, 3D bounding box detection and soiling detection. Semantic annotation of 40 classes at the instance level is provided for over 10,000 images and annotation for other tasks are provided for over 100,000 images. With WoodScape, we would like to encourage the community to adapt computer vision models for fisheye camera instead of using naive rectification. Comment: Accepted for Oral Presentation at IEEE International Conference on Computer Vision (ICCV) 2019. Please refer to our website https://woodscape.valeo.com and https://github.com/valeoai/woodscape for release status and updates |
| Databáze: | OpenAIRE |
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