Open Fine-Grained Activity Detection Scorer (OpenFAD Scorer)
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1 resource available
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Open Fine-Grained Activity Detection Scorer (OpenFAD Scorer) - Git Repo
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[ "006:55" ] |
| contactPoint |
{ "fn": "Lukas Diduch", "hasEmail": "mailto:lukas.diduch@nist.gov" } |
| description | System output scoring software of NIST 2022 Open Fine-grained Activity Detection (OpenFAD) challenge. OpenFAD is an activity classification and detection evaluation to measure how well systems can automatically classify or temporally detect fine-grained activities collected from the Consented Activities of People (CAP) dataset using handheld devices. Covers Activity Classification- (AC) and Temporal Activity Detection-Task (TAD). |
| distribution |
[ { "title": "Open Fine-Grained Activity Detection Scorer (OpenFAD Scorer) - Git Repo", "format": "text/html", "accessURL": "https://github.com/usnistgov/FadScorer", "description": "Open Fine-Grained Activity Detection Scorer (OpenFAD Scorer) - Git Repo" } ] |
| identifier | ark:/88434/mds2-2620 |
| keyword |
[ "AI", "Activity Classification", "Activity Detection", "Challenge", "Computer Vision", "Evaluation", "ML", "Scorer", "Software", "Temporal Activity Detection", "Video", "Video Analytics" ] |
| landingPage | https://data.nist.gov/od/id/mds2-2620 |
| language |
[ "en" ] |
| license | https://www.nist.gov/open/license |
| modified | 2022-04-14 00:00:00 |
| programCode |
[ "006:045" ] |
| publisher |
{ "name": "National Institute of Standards and Technology", "@type": "org:Organization" } |
| theme |
[ "Information Technology:Biometrics", "Mathematics and Statistics:Image and signal processing", "Metrology:Metric" ] |
| title | Open Fine-Grained Activity Detection Scorer (OpenFAD Scorer) |