电子产品与办公用品目标检测数据集.zip
一、基础信息
• 数据集名称：电子产品与办公用品目标检测数据集
• 图片数量：
训练集：35张图片
验证集：10张图片
测试集：5张图片
总计：50张图片
• 分类类别：
充电器（cargador）、笔记本充电器（cargadorlaptop）、手机（celular）、笔记本（cuaderno）、笔（lapicero）、钥匙（llave）、游戏手柄（mandoplay）、硬币（moneda）、鼠标（mouse）、键盘（teclado）
• 标注格式：YOLO格式，包含边界框和类别标签，适用于目标检测任务。
• 数据格式：JPEG图片，来源于实际场景。
二、适用场景
• 办公自动化系统开发：用于检测办公桌物品如鼠标、键盘和笔记本，帮助构建自动化库存管理或设备监控系统。
• 零售和消费电子应用：识别电子产品如手机、游戏手柄和充电器，用于智能零售货架管理或商品识别解决方案。
• 智能家居设备集成：检测日常物品如钥匙、硬币和笔，实现家居环境中的物体定位和智能提醒功能。
• 教育和原型测试：适合快速构建目标检测模型，用于教学演示或轻量级AI应用开发。
三、数据集优势
• 多样化的类别：覆盖10个常见办公和生活用品类别，包括电子设备和日常物品，提供丰富的目标检测对象。
• 简洁易用：数据量轻量，适合快速实验和原型开发；YOLO格式兼容主流深度学习框架，可直接用于模型训练。
• 实际场景适配：数据来源于真实环境，适用于自动化、库存管理等实际任务，提升模型泛化能力。
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