Mall Dataset
The Mall is a dataset for crowd counting and profiling research. Its images are collected from publicly accessible webcam. It mainly includes 2,000 video frames, and the head position of every pedestrian in all frames is annotated. A total of more than 60,000 pedestrians are annotated in this dataset.
Source: Drone Based RGBT Vehicle Detection and Counting: A Challenge
Image Source: http://www.bmva.org/bmvc/2012/BMVC/paper021/paper021.pdf
Variants: Mall
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Object Localization | Hausdorff Loss | Locating Objects Without Bounding Boxes | 2018-06-20 |
Recent papers with results on this dataset: