{"@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": [{"accessURL": "https://github.com/usnistgov/FadScorer", "description": "Open Fine-Grained Activity Detection Scorer (OpenFAD Scorer) - Git Repo", "format": "text/html", "title": "Open Fine-Grained Activity Detection Scorer (OpenFAD Scorer) - Git Repo"}], "identifier": "ark:/88434/mds2-2620", "keyword": ["Activity Classification", "Activity Detection", "Temporal Activity Detection", "Video Analytics", "Video", "Evaluation", "Challenge", "Software", "Scorer", "ML", "AI", "Computer Vision"], "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": {"@type": "org:Organization", "name": "National Institute of Standards and Technology"}, "theme": ["Information Technology:Biometrics", "Mathematics and Statistics:Image and signal processing", "Metrology:Metric"], "title": "Open Fine-Grained Activity Detection Scorer (OpenFAD Scorer)"}