安检设备违禁品检测图像数据集

安检设备违禁品检测图像数据集，记录了熵基科技安检机产品采集的安检图像违禁品检测图片数据集，共计有100张图片。数据处理的过程主要包括：采集安检xray的高低能数据、伪色彩处理形成图像数据、违禁品位置和种类标签、通过随机反转、随机旋转、融合违禁品模拟生成图像数据实现图像增强。上述图片数据经过精细过滤处理后，通过目标检测算法、数据增强等方法，本数据集能够训练安检机违禁品检测、识别模型，实现在安检过程中辅助安检员对安检过包时的违禁品种类和位置的快速精准识别，提升安检效率和精度。Image Dataset for Contraband Detection in Security Inspection Equipment. This dataset consists of 100 contraband detection security inspection images collected from ZKTeco security inspection machines. The main data processing workflow includes: collecting high-energy and low-energy X-ray data for security inspection, generating image data via pseudo-color processing, annotating the positions and categories of contraband, and implementing image augmentation through random flipping, random rotation, and simulated image generation by fusing contraband samples. After rigorous filtering of the aforementioned image data, this dataset can be used to train contraband detection and recognition models for security inspection machines via methods including object detection algorithms and data augmentation. It can assist security inspectors in rapidly and accurately identifying the categories and positions of contraband during parcel inspection, thereby enhancing the efficiency and accuracy of security inspection operations.

搜集汇总

背景与挑战

背景概述

该数据集是一个专注于安检场景的违禁品检测图像集合，由熵基科技股份有限公司提供，包含100张经过伪彩色处理的X射线图像，每张图像均标注了违禁品的位置和种类标签。数据集通过随机翻转、旋转等增强方法优化，适用于训练目标检测模型，以辅助安检员快速识别刀具、枪支等违禁品，提升安检效率和精度，可广泛应用于机场、车站等公共场所。