BOVText-Benchmark

Most existing video text spotting benchmarks focus on evaluating a single language and scenario with limited data.In this work, we introduce a large-scale, Bilingual, Open World Video text benchmark dataset (BOVText V2). There are fourfeatures for BOVText V2. Firstly, we provide 2,000+ videos with more than 1,750,000+ frames, 25 times larger than the existinglargest dataset with incidental text in videos. Secondly, our dataset covers 30+ open scenarios, including many virtual scenarios, e.g.,Life Vlog, Driving, Movie, Game, etc. Thirdly, abundant text types annotation (i.e., title, caption or scene text) are provided forthe different representational meanings in the video. Fourthly, the BOVText V2 provides bilingual text annotation to promotemultiple cultures’ lives and communication.

搜集汇总

背景与挑战

背景概述

BOVText-Benchmark是一个大规模、双语、开放世界的视频文本基准数据集，包含2000多个视频和超过175万帧，规模是现有最大数据集的25倍。它覆盖30多个开放场景（包括虚拟场景如生活视频、驾驶、电影和游戏），并提供丰富的文本类型注释（如标题、字幕或场景文本）和双语文本注释，以支持视频文本跟踪和文本定位研究。