AI dataset

MiraData is a large-scale video data set that focuses on long video clips with an average length of 72 seconds. It provides structured subtitles with an average subtitle length of 318 words, enriching the description of video content. By using technologies such as GPT-4V, MiraData demonstrates high accuracy and semantic coherence in video understanding and subtitle generation.

Open-Sora-Plan is an open source project that aims to provide high-quality video datasets to the open source community. The project has crawled and processed 40,258 high-quality videos from open source websites, covering 60% of horizontal screen videos. It also provides automatically generated dense subtitles for use in applications such as machine learning. The project is free and open source, and everyone is welcome to participate and support it.

LiveFood is a data set containing more than 5,100 food videos. The videos include four fields: ingredients, cooking, presentation, and eating. All videos are carefully annotated by professional workers, and a strict double-checking mechanism is used to further ensure the quality of the annotations. We also propose the Global Prototype Encoding (GPE) model to handle this incremental learning problem, achieving competitive performance compared with traditional techniques.