大型设备运行安全数据集

大型设备运行安全数据集是面向工业场景打造的大型设备运行安全视觉检测高质量数据集，聚焦港区大型设备作业安全智能识别核心需求。数据集依托真实港区现场监控视频完成采集、筛选与规范化标注，解决工业设备安全监测领域样本稀缺、标注不标准、场景贴合度低等问题，可为工业设备安全领域AI模型训练、目标检测、异常行为识别、智能安全预警等应用提供高质量视觉语料与标注样本支撑。

The Large-Scale Equipment Operational Safety Dataset is a high-quality visual inspection dataset tailored for industrial scenarios, focusing on the core demand of intelligent recognition of operational safety for large-scale equipment in port areas. Collected, screened and standardizedly annotated based on real on-site surveillance videos from actual port areas, this dataset addresses the key pain points including scarce samples, non-standard annotations and low consistency with real operational scenarios in the field of industrial equipment safety monitoring. It can provide high-quality visual corpora and annotated samples to support applications such as AI model training, object detection, abnormal behavior recognition and intelligent safety early warning in the industrial equipment safety domain.

搜集汇总

背景与挑战

背景概述

该数据集是针对工业场景设计的高质量视觉检测数据集，专注于港区大型设备作业安全智能识别需求。它基于真实监控视频采集与规范化标注，旨在解决设备安全监测领域样本稀缺和标注不标准的问题，为AI模型训练、目标检测和智能预警等应用提供支持。数据集规模为30GB，模态为图像/目标检测，应用于水上运输业的交通运输领域。