Omkar2118/datasets huggingface dataset:
Helvipad

The Helvipad dataset is a real-world stereo dataset designed for omnidirectional depth estimation. It comprises 39,553 paired equirectangular images captured using a top-bottom 360° camera setup and corresponding pixel-wise depth and disparity labels derived from LiDAR point clouds.  The dataset spans diverse indoor and outdoor scenes under varying lighting conditions, including night-time environments.

Introducing paper: Helvipad: A Real-World Dataset for Omnidirectional Stereo Depth Estimation