Using Spatial Video and Deep Learning

This dataset consists of training and validation dataset for tent detection using Yolov5 model. There are seperate image and lave folders with the label folder containing details about the exact location of the object in the image. The labels are normalized based on the length nd width of the image and contains information about the center of image, length, and breadth of the image. The image and the label has identical names barring the file extension (.txt for label and other valid image formats for the image)本数据集为用于Yolov5模型的帐篷检测任务的训练与验证数据集。数据集包含独立的图像文件夹与标注文件夹，其中标注文件夹存储了图像内目标物体的精确位置信息。标注文件基于图像的长宽进行归一化处理，包含图像中心点坐标、目标的长度与宽度信息。图像与标注文件名称完全一致，仅文件扩展名存在差异：标注文件采用.txt格式，图像文件则支持各类合法图像格式。