People and Safety Belt Sematic Segmentation Dataset

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。

搜集汇总

背景与挑战

背景概述

该数据集是一个面向工业应用的安全合规监控数据集，包含工厂环境中CCTV摄像头捕获的1920 x 1080分辨率图像。它专注于实例分割和语义分割任务，标注了人及其佩戴的安全带，旨在通过自动化视觉分析提升安全规范遵守情况。