People and Safety Belt Sematic Segmentation Dataset
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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.
《人及安全带语义分割数据集》系专为工业应用定制，其中包含在工厂环境中捕获的监控摄像头图像，图像分辨率为1920 x 1080像素。该数据集聚焦于实例分割和语义分割，为人员及其所佩戴的安全带提供标注，旨在提升安全合规性监控能力。
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