zigg-ai/content-regions-distrib-yolo-35k

该数据集包含7种类别的图像内容标注，分别为：数字图形、数字演示、数字屏幕录制、数字视频游戏、多说话人视频片段、场景视频片段和单人说话人头视频。数据集分为训练集和验证集，其中训练集有27581张图片，验证集有6897张图片。数据集遵循YOLO格式，标注文件的格式为：类别编号、图像中心点横坐标、纵坐标、宽度、高度。

This dataset contains image content annotations of 7 classes: digital graphics, digital presentation, digital screencast, digital video game, multi-speaker video footage, scene video footage, and talking head video footage. The dataset is divided into a training set and a validation set, with 27,581 images in the training set and 6,897 images in the validation set. The dataset follows the YOLO format, and the label file format is: class ID, x-coordinate of the center of the image, y-coordinate, width, height.