YouTube-VOS 2018 (Youtube Video Object Segmentation)

Introduced by Ning Xu et al. in YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

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.

Source: CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing


Paper Code Results Date Stars

Dataset Loaders

No data loaders found. You can submit your data loader here.


Similar Datasets