GTA5(Grand Theft Auto 5)

我们从gta5中提取了24,966帧。每帧具有1914年 × 1052像素的分辨率。然后使用第3.2节中描述的接口对帧进行语义标记。标签过程在49小时内完成。此时，提取的图像的像素区域的98.3% 被用相应的语义类标记。类被定义为与户外场景的其他语义分割数据集兼容 [8,11，39,50]。我们数据集中类的分布如图4所示。

We extracted 24,966 frames from GTA5. Each frame has a resolution of 1914 × 1052 pixels. These frames were then semantically annotated using the interface described in Section 3.2. The annotation process was completed within 49 hours. At this stage, 98.3% of the pixel regions of the extracted images were labeled with their corresponding semantic classes. The classes are defined to be compatible with other semantic segmentation datasets for outdoor scenes [8, 11, 39, 50]. The distribution of classes in our dataset is shown in Figure 4.

搜集汇总

背景与挑战

背景概述

GTA5数据集是从游戏《侠盗猎车手5》中提取的24,966帧高分辨率图像（1914×1052像素），专为语义分割和领域适应任务设计。该数据集通过自动化标签过程实现了98.3%的像素级语义标记，类别定义与主流户外场景数据集兼容，适用于计算机视觉研究。