DAVIS (Densely Annotated VIdeo Segmentation), consists of fifty high quality, full HD video sequences, spanning multiple occurrences of common video object segmentation challenges such as occlusions, motion-blur and appearance changes. Each video is accompanied by densely annotated, pixel-accurate and per-frame ground truth segmentation.Related publications:J. Pont-Tuset, F. Perazzi, S. Caelles, P. Arbelaez, A. Sorkine-Hornung, and L. Van Gool, The 2017 DAVIS Challenge on Video Object Segmentation, 2017 PDFF. Perazzi, J. Pont-Tuset, B. McWilliams, L. Van Gool, M. Gross, and A. Sorkine-Hornung, A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation, Computer Vision and Pattern Recognition (CVPR) 2016 PDF