Datasets › VFP290K
VFP290K
Vision-based Fallen Person (VFP290K) is a novel, large-scale dataset for the detection of fallen persons composed of fallen person images collected in various real-world scenarios. VFP290K consists of 294,714 frames of fallen persons extracted from 178 videos, including 131 scenes in 49 locations.
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 | ||||
|---|---|---|---|---|---|---|
| Anomaly Detection In Surveillance Videos | VFP290K | Faster R-CNN (R101) mAP @0.5:0.95 73.2 | VFP290K: A Large-Scale Benchmark Dataset for... | DASH-Lab/VFP290K | 4 | Compare |
Papers archive 2025-07-28
2 shown of 2 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 2. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| FOR THE SAKE OF PRIVACY: SKELETON-BASED SALIENT BEHAVIOR RECOGNITION | 0 | 3 | 18 Oct 2022 | not harvested |
| VFP290K: A Large-Scale Benchmark Dataset for Vision-based Fallen Person Detection | 1 | 1 | 14 Jan 2022 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- VFP290K
1 variant name, as the archive lists them.
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