Omkar2118/datasets huggingface dataset:
AerialMPT

AerialMPT is a dataset for pedestrian tracking in aerial image sequences and presents real-world challenges for MOT algorithms such as low frame rate, small moving objects, and complex backgrounds. AerialMPT consists of 14 sequences and 307 frames with an average size of 425 × 358 pixels. The images were acquired by DLR's 4K camera system from altitudes ranging from 600 m to 1400 m, resulting in spatial resolutions (GSDs) ranging from 8 cm/pixel to 13 cm/pixel. In a post-processing step, the images were co-registered, geo-referenced, and cropped for each region of interest, resulting in sequences of 2 fps. The images were acquired during different flight campaigns between 2016 and 2017, over different scenes containing pedestrians and with different crowd densities and movement complexities.

Introducing paper: AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery Using Temporal and Graphical Features