DAVIS17 is a dataset for video object segmentation. It contains a total of 150 videos - 60 for training, 30 for validation, 60 for testing
273 PAPERS • 11 BENCHMARKS
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.
217 PAPERS • 4 BENCHMARKS
Youtube-VOS is a Video Object Segmentation dataset that contains 4,453 videos - 3,471 for training, 474 for validation, and 508 for testing. The training and validation videos have pixel-level ground truth annotations for every 5th frame (6 fps). It also contains Instance Segmentation annotations. It has more than 7,800 unique objects, 190k high-quality manual annotations and more than 340 minutes in duration.
176 PAPERS • 10 BENCHMARKS
VOT2020 is a Visual Object Tracking benchmark for short-term tracking in RGB.
6 PAPERS • 1 BENCHMARK
PUMaVOS is a dataset of challenging and practical use cases inspired by the movie production industry.
1 PAPER • NO BENCHMARKS YET