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
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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VFP290K
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Faster R-CNN
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Papers
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