Anim400K is a large-scale automatic video dubbing data set, containing 425,000 audio and video clips, covering a variety of topics and languages, providing developers with rich resources. It has a variety of metadata, supports a variety of video tasks, and has broad application prospects in fields such as automatic dubbing, multi-modal learning, speech and image recognition, etc. The emergence of this data set provides powerful data support for scientific research and applications in related fields, and helps promote the progress and development of artificial intelligence technology. Developers can use Anim400K for model training and improvement to improve the performance and efficiency of related applications.
Anim400K is a data set for automatic video dubbing design, containing 425,000 audio and video clips covering a variety of topics and languages. Developers can leverage its rich metadata for training and improvement, supporting a variety of video tasks. This data set is widely used in fields such as automatic dubbing, multi-modal learning, speech and image recognition. For detailed information, please visit the GitHub project address: https://github.com/davidmchan/Anim400K.The release of the Anim400K data set provides valuable resources for researchers and developers in the field of artificial intelligence. It is believed that it will play a greater role in the future and promote greater breakthroughs in related technologies. Welcome to visit the GitHub link for more information.