DAVIS 2016

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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/

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