: Information on 375,000 movies, including cast, directors, and genres.
: 92,000 tags for cinematic styles (lighting, camera motion, view scale) and 65,000 tags for action and location.
The dataset and its associated tools are available through the MovieNet GitHub, providing an open-source platform for the global research community to bridge the gap toward comprehensive video analytics. github.io/">MovieNet Toolbox in your own AI project? mvs movienet verified
is a massive, holistic dataset designed to advance the field of computer vision and video understanding by providing high-quality, multi-modal movie data for artificial intelligence research. What is MovieNet?
Researchers use MovieNet to verify that their AI models can maintain stable performance across different narrative structures and visual styles. It supports several "holistic" tasks, including: : Information on 375,000 movies, including cast, directors,
The term "verified" in the context of MovieNet refers to the provided to supervise AI learning. Unlike automated datasets that may contain errors, MovieNet offers human-verified labels across several layers:
: 42,000 verified scene boundaries to help AI identify where one scene ends and another begins. github
: Classifying how a film was shot, such as scale or movement.