zigg-ai/content-regions-distrib-yolo-2cls-19k

这个数据集包含了两种内容注释类别的YOLO格式标注：数字内容和镜头内容。具体来说，它包括数字图形、数字演示、数字屏幕录制、数字视频游戏、多人对话镜头、场景镜头和访谈镜头等类别。数据集分为训练集和验证集，其中训练集有15172张图像，验证集有3793张图像。数据集遵循YOLO格式，包含图像和标签文件夹，以及一个dataset.yaml文件。每个标签文件中包含了以类ID x中心点 y中心点 宽度 高度的格式进行标注的注释。

This dataset contains 2 classes of content annotations in YOLO format: digital and footage. Specifically, it includes categories such as digital graphics, digital presentation, digital screencast, digital videogame, footage with multiple speakers, scene footage, and talking head footage. The dataset is divided into a training set and a validation set, with the training set containing 15,172 images and the validation set containing 3,793 images. The dataset follows the YOLO format, including folders for images and labels, as well as a dataset.yaml file. Each label file contains annotations in the format of class_id x_center y_center width height.