DAVIS 2016
Introduced in A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation2015
About this Dataset
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.
Source: Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation Image Source: https://davischallenge.org/
Dataset Variants
