OVIS
Occluded Video Instance Segmentation
VideosCreative Commons Attribution-NonCommercial-ShareAlike 4.0 LicenseIntroduced 2021-02-02
OVIS is a new large scale benchmark dataset for video instance segmentation task. It is designed with the philosophy of perceiving object occlusions in videos, which could reveal the complexity and the diversity of real-world scenes. OVIS consists of:
- 296k high-quality instance masks
- 25 commonly seen semantic categories
- 901 videos with severe object occlusions
- 5,223 unique instances
If the description or image is from a different paper, please refer to it as follows: Source: http://songbai.site/ovis/
Related Benchmarks
OVIS validation/Video Instance Segmentation/AP50OVIS validation/Video Instance Segmentation/AP75OVIS validation/Video Instance Segmentation/APhoOVIS validation/Video Instance Segmentation/APmoOVIS validation/Video Instance Segmentation/APsoOVIS validation/Video Instance Segmentation/AR1OVIS validation/Video Instance Segmentation/AR10OVIS validation/Video Instance Segmentation/mask AP