舱内遗留物品图片数据集

随着智能驾驶行业发展，越来越多的车辆带有自动检测功能，包括但不限于疲劳驾驶检测、危险驾驶行为检测和遗留物品检测。在技术层面，就需要相关舱内遗留物品图片作为模型算法的训练集或测试集使用，从而提升模型在车内场景下物品检测的识别准确率。

With the development of the intelligent driving industry, an increasing number of vehicles are equipped with automatic detection functions, including but not limited to fatigue driving detection, dangerous driving behavior detection, and in-cabin leftover item detection. From a technical perspective, relevant images of in-cabin leftover items are required to be used as training or test datasets for model algorithms, so as to improve the recognition accuracy of the model for object detection in in-vehicle scenarios.