Datasets › ConferenceVideoSegmentationDataset

ConferenceVideoSegmentationDataset

Introduced by Zijian Kuang et al. in Flow-based Video Segmentation for Human Head and Shoulders20 Apr 2021 archive 2025-07-28

This is a video and image segmentation dataset for human head and shoulders, relevant for creating elegant media for videoconferencing and virtual reality applications. The source data includes ten online conference-style green screen videos. The authors extracted 3600 frames from the videos and generated the ground truth masks for each character in the video, and then applied virtual background to the frames to generate the training/testing sets.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • ConferenceVideoSegmentationDataset

1 variant name, as the archive lists them.

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