Datasets › OVIS
OVIS (Occluded Video Instance Segmentation)
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/
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Video Instance Segmentation | OVIS validation | DVIS-DAQ(VIT-L, Offline) mask AP 57.1 | DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries | zhang-tao-whu/DVIS +2 | 44 | Compare |
Papers archive 2025-07-28
29 shown of 29 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 75. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- OVIS
- OVIS validation
2 variant names, as the archive lists them.
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