OD-WeaponDetection: Sohas Classification Dataset

Authors introduce OD-WeaponDetection: Sohas Classification dataset, featuring a corpus of 9 544 images with six distinct classes, which include knive, pistol, tarjeta, monedero, smartphone, billete categories. Just as in the example dataset, the authors present this resource as a pivotal contribution to the field of classification, particularly focusing on weapons and objects of interest within images. The dataset's rich content is sourced from a myriad of internet-based sources, including frames extracted from YouTube videos and surveillance footage, ensuring it encapsulates real-world challenges. With a diverse array of indoor and outdoor settings, the dataset equips researchers, security professionals, and developers with a versatile resource for advancing classification models. Detailed information and experimental results are available in a related publication, making the OD-WeaponDetection: Sohos Classification dataset an essential component of the broader Weapon Detection Open Data initiative.

作者们推出了OD-WeaponDetection：Sohas分类数据集，该数据集包含9544张图像，分为六个不同的类别，包括刀具、手枪、银行卡、钱包、智能手机和纸币等。与示例数据集相似，作者们将此资源视为分类领域的一项重要贡献，尤其专注于图像中的武器和感兴趣物体。数据集丰富的内容来源于众多互联网资源，包括从YouTube视频和监控录像中提取的帧，确保其涵盖了现实世界的挑战。该数据集涵盖了室内和室外多样化的场景，为研究人员、安全专业人士和开发者提供了一个多功能的资源，以推动分类模型的进步。详细信息和实验结果可在相关出版物中找到，使OD-WeaponDetection：Sohas分类数据集成为更广泛的武器检测开放数据倡议的必要组成部分。