BOVText-Benchmark
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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.
