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People and Safety Belt Sematic Segmentation Dataset
- shaip.com
- uk.shaip.com
- +81more
jsonUpdated Nov 26, 2024
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EmailClick to copy linkLink copiedCiteShaip (2024). People and Safety Belt Sematic Segmentation Dataset [Dataset]. https://www.shaip.com/offerings/human-animal-segmentation-datasets/jsonAvailable download formatsDataset updatedNov 26, 2024Dataset authored and provided byShaipLicenseCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automaticallyDescriptionThe People and Safety Belt Semantic Segmentation Dataset is specifically curated for industrial applications, consisting of CCTV images captured within a factory environment at a resolution of 1920 x 1080 pixels. This dataset focuses on both instance and semantic segmentation, providing annotations for people and the seat belts they are wearing, aimed at enhancing safety compliance monitoring.
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People and Safety Belt Semantic Segmentation Dataset
- maadaa.ai
imageUpdated Sep 29, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMaadaa AI (2023). People and Safety Belt Semantic Segmentation Dataset [Dataset]. https://maadaa.ai/datasets/DatasetsDetail/People-and-Safety-Belt-Semantic-Segmentation-DatasetimageAvailable download formatsDataset updatedSep 29, 2023Dataset authored and provided byMaadaa AILicensehttps://maadaa.ai/path/to/licensehttps://maadaa.ai/path/to/license
Variables measuredHuman-objectMeasurement techniqueInstance Segmentation, Semantic SegmentationDescriptionThe "People and Safety Belt Semantic Segmentation Dataset" is specifically curated for industrial applications, consisting of CCTV images captured within a factory environment at a resolution of 1920 x 1080 pixels. This dataset focuses on both instance and semantic segmentation, providing annotations for people and the seat belts they are wearing, aimed at enhancing safety compliance monitoring.
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FacebookTwitterEmailCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The People and Safety Belt Semantic Segmentation Dataset is specifically curated for industrial applications, consisting of CCTV images captured within a factory environment at a resolution of 1920 x 1080 pixels. This dataset focuses on both instance and semantic segmentation, providing annotations for people and the seat belts they are wearing, aimed at enhancing safety compliance monitoring.