Omkar2118/datasets huggingface dataset:
QuadTrack

Most existing MOT datasets are captured using pinhole cameras, which are characterized by a narrow-FoV and linear sensor motion. However, when panoramic-FoV capture devices experience even slight movements, the entire scene can change drastically, posing significant challenges for object tracking. QuadTrack addresses this challenge by providing a benchmark specifically designed to test MOT algorithms under dynamic, non-linear motion conditions. It enables evaluating algorithm robustness in tracking objects with panoramic, non-uniform motion.

Introducing paper: Omnidirectional Multi-Object Tracking
A Ball Collision Dataset (ABCD)

A Ball-Collision Dataset (ABCD) serves as a comprehensive benchmark for investigating the interaction dynamics of moving objects within 3D environments. It includes multimodal recordings of ball trajectories, captured under various conditions, including different elevation angles, flight lengths, and speeds. This dataset contains raw event, rgb and IMU data collected from an FPGA-based drone and 3D motion capture data of the drone (static) and a moving ball.

Introducing paper: Towards Low-Latency Event-based Obstacle Avoidance on a FPGA-Drone