IlyaInd/WideDepth
WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation WideDepth is the first indoor dataset for fisheye depth estimation, featuring 101 scenes containing 5K high-resolution stereo pairs labeled with millimeter-level ground truth depth and disparity. Paper: WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation Project Page: https://ilyaind.github.io/WideDepth The dataset includes paired pinhole and fisheye samples across varying fields of view… See the full description on the dataset page: https://huggingface.co/datasets/IlyaInd/WideDepth.
WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation
WideDepth is the first indoor dataset for fisheye depth estimation, featuring 101 scenes containing 5K high-resolution stereo pairs labeled with millimeter-level ground truth depth and disparity.
- Paper: WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation
- Project Page: https://ilyaind.github.io/WideDepth
The dataset includes paired pinhole and fisheye samples across varying fields of view and baselines in both horizontal and vertical stereo setups. It also provides 18K LiDAR-derived sparse depth training samples, designed to help fine-tune pinhole-based stereo models for fisheye data. WideDepth aims to set a strong foundation for advancing research in fisheye depth estimation and robotics perception.