Datasets:
Tasks:
Video Classification
Formats:
csv
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
medical
License:
Update README.md
Browse files
README.md
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@@ -35,14 +35,14 @@ OmniFall addresses three critical limitations in current fall detection research
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This benchmark includes annotations for the following datasets:
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1. **CMDFall** (7h 7m) - Multi-subject, multi-view dataset
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2. **UP Fall** (4h 35m) - Multiple subjects with
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3. **Le2i** (47m) - Multiple room settings
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4. **GMDCSA24** (21m) -
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5. **CAUCAFall** (16m)
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6. **OCCU** (14m) -
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7. **EDF** (13m) -
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8. **MCFD** (12m) - Single subject, eight camera views
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9. **OOPS-Fall** - Curated subset of genuine accidents from the OOPS dataset
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## Structure
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This benchmark includes annotations for the following datasets:
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| 36 |
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1. **CMDFall** (7h 7m) - Multi-subject, multi-view dataset
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| 38 |
+
2. **UP Fall** (4h 35m) - Multiple subjects with two camera views
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3. **Le2i** (47m) - Multiple room settings
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+
4. **GMDCSA24** (21m) - Multiple room settings
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5. **CAUCAFall** (16m)
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6. **OCCU** (14m) - Two camera views
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7. **EDF** (13m) - Two camera views
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8. **MCFD** (12m) - Single subject, eight camera views
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9. **OOPS-Fall** - Curated subset of genuine fall accidents from the OOPS dataset
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## Structure
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