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YouTube-VIS 2019 Dataset | Papersgraph

Datasets/

Videos

YouTube-VIS 2019

Introduced in Video Instance Segmentation2019

About this Dataset

YouTubeVIS is a new dataset tailored for tasks like simultaneous detection, segmentation and tracking of object instances in videos and is collected based on the current largest video object segmentation dataset YouTubeVOS.

Source: YouTubeVIS

Source: Video Instance Segmentation

Dataset Variants

Datasets/

Videos

YouTube-VIS 2019

Introduced in Video Instance Segmentation2019

About this Dataset

Source: YouTubeVIS

Source: Video Instance Segmentation

Dataset Variants

YouTube-VISYouTube-VIS validationYouTube-VIS 2019

Papers1

Video Instance Segmentation

The first time that the image instance segmentation problem is extended to the video domain, and a novel algorithm called MaskTrack R-CNN is proposed for this task, which is simultaneous detection, segmentation and tracking of instances in videos.

Dataset Loaders

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🎯

tensorflow/datasets

tfjax

🔥

youtubevos/MaskTrackRCNN

pytorch

Tasks

EDIT

Semantic Segmentation Instance Segmentation Video Instance Segmentation

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