CLVOS23 Dataset

The authors proposed the CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning - new long-video object segmentation dataset for continual learning, as a realistic and significantly greater challenge for testing VOS(Video Object Segmentation) methods on long videos. The frames for dataset were taken from the Long Videos dataset (rat, dressage, blueboy videos) and from the YouTube (car, dog, parkour, skating, skiing, skiing-long videos).

作者提出了CLVOS23：一种用于持续学习的大视频物体分割数据集（Long Video Object Segmentation Dataset for Continual Learning），该数据集旨在为长视频物体分割任务提供一种更为真实且具有显著挑战性的测试平台，以检验视频物体分割（Video Object Segmentation, VOS）方法在长视频场景下的性能。数据集中的帧来源于Long Videos数据集（包含rat、dressage、blueboy视频）以及YouTube平台（包含car、dog、parkour、skating、skiing等长视频）。