Back

DAVIS 2016

Video object segmentation dataset

DAVIS 2016

DAVIS16 is a dataset for video object segmentation which consists of 50 videos in total (30 videos for training and 20 for testing). Per-frame pixel-wise annotations are offered.

Try V7 now
->
View author website
Task
Video Object Segmentation
Annotation Types
Instance Segmentation
Items
Classes
Labels
Models using this dataset
Last updated on 
October 31, 2023
Licensed under 
Unknown
Blog
Learn about machine learning and latests advancements in AI.
Read More
Playbooks
Discover how to optimize AI for your business.
Learn more
Case Studies
Discover how V7 empowers AI industry greats.
Explore now
Webinars
Explore AI topics, gain insights, and learn from experts.
Watch now