Military objects in military environments

The dataset will consist of images of tanks, drones, soldiers, and civilians. The final dataset used to train our object detection model consists of 7985 images. Distribution of images and instances for each class. Instances refer to the number of targeted objects in the images, such as tanks, drones, soldiers, or people. The number of images and instances of each has been carefully considered to provide the best possible result for various factors. Class Number of Images Number of Instances Tanks 3000 4990 Drones 1359 1296 People 2644 4492 Soldiers 982 3240 Each of the classes includes the diversification of the images and instances across many conditions, including but not limited to: • Clarity • Weather • Occlusion • Time of day • Illumination • Image quality • Discernibility • Instance count本数据集将涵盖坦克、无人机、士兵与平民的图像素材。 用于训练我方目标检测模型的最终数据集共包含7985张图像。 以下为各分类的图像与实例分布详情：其中实例指图像内的目标对象总数，例如坦克、无人机、士兵或平民。各类别的图像与实例数量均经过审慎考量，以兼顾多维度影响因素，实现最优训练效果。 分类 图像数量 实例数量 坦克 3000 4990 无人机 1359 1296 平民 2644 4492 士兵 982 3240 各分类的图像与实例均覆盖了多样的拍摄条件，包括但不限于： • 图像清晰度 • 天气状况 • 遮挡情况 • 拍摄时段 • 光照条件 • 图像质量 • 可辨识程度 • 实例数量