crowd-counting.com - JHU-CROWD++ | A large-scale unconstrained crowd counting dataset

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A comprehensive dataset with 4,372 images and 1.51 million annotations. In comparison to existing datasets, the proposed dataset is collected under a variety of diverse scenarios and environmental conditions . In addition, the dataset provides comparatively richer set of annotations like dots, approximate bounding boxes, blur levels, etc.

Includes several images with weather-based degradations and illumination variations, making it a very challenging dataset. Additionally, the dataset consists of rich annotations at both image-level and head-level.

4,372 images Contains 4,372 images (with an avg resolution of 1430x910) collected under a diverse set of conditions and various geographical locations.

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