The official repository of the HAJJv2 dataset. Which is a dataset that includes individuals' abnormal behaviors in massive crowds.
Tarik Alafif, Anas Hadi, Manal Allahyani, Bander Alzahrani, Areej Alhothali, Reem Alotaibi, Ahmed Barnawi
The HAJJv2 dataset consists of 18 videos collected manually from different places and scenes during the annual Hajj religious event. There are five videos captured in the "Massaa" scene while other videos are captured in the "Jamarat", "Arafat" and "Tawaf" scenes. In these videos, individuals' abnormal behaviors include standing, sitting, sleeping, running, moving in opposite or different crowd directions, and non-pedestrian entities such as cars and wheelchairs. Individuals' abnormal behaviors in the videos are manually annotated and labeled for training and testing.
HAJJv2 dataset statistics:
| Classes | Training | Testing |
|---|---|---|
| Different Crowd Direction | 7,152 | 6,262 |
| Moving In Opposite | 36,577 | 18,802 |
| Moving Non-Human Object | 4,186 | 4,146 |
| Running | 51 | 190 |
| Sitting | 100,633 | 83,644 |
| Sleeping | 2,400 | 2,618 |
| Standing | 19,773 | 14,107 |