Weapon Detection Dataset

该数据集是一个全面的数据集，包含了数千张描绘各种类型枪支和刃器的图片，用于训练和评估YOLOv8模型，以实现实时武器检测。此外，该数据集还包含了“武器”和“无武器”两个类别的图片，这有助于进行二分类任务以及性能评估。该任务的目的是实现实时武器检测。

This is a comprehensive dataset consisting of thousands of images depicting various types of firearms and bladed weapons. It is developed for training and evaluating the YOLOv8 model to enable real-time weapon detection. Furthermore, the dataset includes images labeled under two distinct categories: "weapon" and "no weapon", which supports binary classification tasks and model performance assessment. The core objective of this task is to achieve real-time weapon detection.

搜集汇总

背景与挑战

背景概述

该数据集为武器检测数据集，采用Pascal VOC格式，包含刀、枪等武器的标注信息，每张图片配有XML标注文件，适用于计算机视觉领域的安全增强应用。