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.