6 datasets found

The DAVIS Challenge 2017 benchmark is a dataset for video object segmentation.

The DAVIS Challenge 2018 benchmark is a dataset for video object segmentation.

The DAVIS-2017 dataset is a benchmark for video object segmentation

Video object segmentation is a fundamental task in many important areas such as autonomous driving, robotic manipulation, video surveillance, and video editing.

The DAVIS dataset is a widely used dataset for video-related tasks, consisting of approximately 2000 frames from 26 human-centric scenarios.

Video object segmentation is crucial for several applications, from video editing to video data generation. Training a VOS model requires an abundance of manually labeled...