Datasets:
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image imagewidth (px) 320 320 | label class label 130
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0Coffee_room_01_video_(1) | |
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1Coffee_room_01_video_(10) | |
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2Coffee_room_01_video_(11) | |
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5Coffee_room_01_video_(14) | |
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6Coffee_room_01_video_(15) | |
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7Coffee_room_01_video_(16) | |
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9Coffee_room_01_video_(18) | |
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10Coffee_room_01_video_(19) | |
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11Coffee_room_01_video_(2) | |
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12Coffee_room_01_video_(20) | |
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18Coffee_room_01_video_(26) | |
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18Coffee_room_01_video_(26) | |
19Coffee_room_01_video_(27) | |
19Coffee_room_01_video_(27) | |
19Coffee_room_01_video_(27) | |
20Coffee_room_01_video_(28) | |
20Coffee_room_01_video_(28) | |
20Coffee_room_01_video_(28) | |
21Coffee_room_01_video_(29) | |
21Coffee_room_01_video_(29) | |
21Coffee_room_01_video_(29) | |
22Coffee_room_01_video_(3) | |
22Coffee_room_01_video_(3) | |
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23Coffee_room_01_video_(30) | |
23Coffee_room_01_video_(30) | |
23Coffee_room_01_video_(30) | |
24Coffee_room_01_video_(31) | |
24Coffee_room_01_video_(31) | |
24Coffee_room_01_video_(31) | |
25Coffee_room_01_video_(32) | |
25Coffee_room_01_video_(32) | |
25Coffee_room_01_video_(32) | |
26Coffee_room_01_video_(33) | |
26Coffee_room_01_video_(33) | |
26Coffee_room_01_video_(33) | |
27Coffee_room_01_video_(34) | |
27Coffee_room_01_video_(34) | |
27Coffee_room_01_video_(34) | |
28Coffee_room_01_video_(35) | |
28Coffee_room_01_video_(35) | |
28Coffee_room_01_video_(35) | |
29Coffee_room_01_video_(36) | |
29Coffee_room_01_video_(36) | |
29Coffee_room_01_video_(36) | |
30Coffee_room_01_video_(37) | |
30Coffee_room_01_video_(37) | |
30Coffee_room_01_video_(37) | |
31Coffee_room_01_video_(38) | |
31Coffee_room_01_video_(38) | |
31Coffee_room_01_video_(38) | |
32Coffee_room_01_video_(39) | |
32Coffee_room_01_video_(39) | |
32Coffee_room_01_video_(39) | |
33Coffee_room_01_video_(4) |
End of preview. Expand in Data Studio
Le2i Sentinel Test Frames
Extracted frames from the Le2i Fall Detection Dataset for benchmarking the Sentinel video intelligence pipeline.
Contents
- 130 annotated videos (99 falls, 31 normals)
- 3 frames per video (390 total)
- 4 environments: Coffee_room_01, Coffee_room_02, Home_01, Home_02
- Ground truth in metadata/ground_truth.json
Source
Le2i Fall Detection Dataset (University of Burgundy)
- Resolution: 320x240 @ 25fps
- Citation: Charfi et al., "Optimised spatio-temporal descriptors for real-time fall detection", JEI 2013
Usage
from huggingface_hub import snapshot_download
snapshot_download("PixelML/le2i-sentinel-frames", local_dir="le2i_frames")
Benchmark Results (Sentinel V03 on Mistral Small 3.2)
- Fall detection: F1=0.889, P=0.988, FPR=0.032
- Cosmos-Embed1 alert gate: 9/10 correct
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