YouTube-VOS research-use agreement
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
Downloads contain YouTube-VOS RGB images and derived binary masks. You must accept the original terms at https://youtube-vos.org/dataset/term/ and use the data only for non-commercial research. Original ownership and copyright are retained.
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ProMo3D Training and Validation Assets
Paper | Project page | PMD models
Status
This release contains original RGB images and the exact binary motion masks for 160 training and 80 validation sequences, with split/frame manifests. Downloads require agreement to the upstream research-use terms.
Contents
The source supervision uses PMD's 160 training sequences and shared 80-sequence validation subset, referred to as YouTube-VOS in the paper and code. These are the exact binary PNG masks used by PMD, not regenerated official instance annotations. Zero denotes static/background and nonzero denotes dynamic. Mask interpretation follows the source supervision and does not label physical velocity.
| Split | Sequences | Mask frames |
|---|---|---|
| Train | 160 | 4,933 |
| Validation | 80 | 2,893 |
youtubevos_160vids/train/binary_motion_masks.zip
youtubevos_160vids/train/rgb_images.zip
youtubevos_160vids/train/manifest.json
youtubevos_160vids/validation/binary_motion_masks.zip
youtubevos_160vids/validation/rgb_images.zip
youtubevos_160vids/validation/manifest.json
manifest.json
RGB images and binary masks are separate archives for each split. RGB archives contain JPEGImages/<sequence>/<frame>.jpg; mask archives contain Annotations/<sequence>/<frame>.png. Original file bytes and names are preserved. Each split manifest lists sequence membership, image-mask correspondence, and per-file checksums; the root manifest contains archive checksums. No pre-exported tokens, target-benchmark data, or example videos are included. All six backbones share this source dataset; their probes are stored separately in the model repository.
The page is public. Download access requires a Hugging Face account and agreement to the original research-use terms; requests are approved automatically. This applies to the dataset repository, including both RGB and mask files. PMD probe downloads in the separate model repository are not gated.
Download and Original Source
After accepting the terms on this page and logging in locally, the reproduction code downloads and verifies both RGB and mask archives:
bash scripts/download_huggingface.sh --assets data
Source provenance: the locally retained annotation headers identify training as version 2.0 (2021) and validation as version 3.0 (2022). These correspond to YouTube-VIS releases, built on the YouTube-VOS collection. The exact sequence/frame manifests and released bytes are authoritative for reproducing PMD; this release should not be substituted with the full YouTube-VOS 2018 split based on its name. The reproduction release preserves the actual experiment assets, not a reselected or relabeled dataset.
The original RGB images can also be obtained through the official provider, following the terms of use. PMD train refers to the retained official train source and PMD validation to the retained valid source. Do not replace the released binary masks with official instance annotations.
Alternatively, select the sequence IDs and image names listed in each manifest from the official JPEGImages directories. Extract the RGB and mask archives into the corresponding local split:
datasets/youtubevos_160vids/train/JPEGImages/<sequence>/<frame>.jpg
datasets/youtubevos_160vids/train/Annotations/<sequence>/<frame>.png
datasets/youtubevos_160vids/validation/JPEGImages/<sequence>/<frame>.jpg
datasets/youtubevos_160vids/validation/Annotations/<sequence>/<frame>.png
The PMD loaders also recognize the legacy JEPGImages spelling. Training-video subsets such as 10/20/40/80 use the reproduction code's documented subset seeds within the 160-sequence training pool, with the same validation set.
Evaluation Data
DAVIS, SegTrackv2, and FBMS-59 are target benchmarks, not source training data. Download them from their original providers under the applicable terms. Their images and GT masks are not included by this card release. FBMS-59 metrics use annotated frames only; DAVIS void pixels are excluded.
The code's scripts/evaluate.sh accepts the downloaded benchmark roots and produces masks, qualitative outputs, and metric tables without requiring source training/validation assets or pre-exported test tokens.
Licenses and Privacy
Dataset ownership and upstream licenses remain with their original providers. The annotation license and non-commercial research-use terms apply; this release does not grant additional rights to the original videos. Cite the ProMo3D paper, the YouTube-VOS paper, and the relevant YouTube-VIS dataset releases listed by the official provider. No full upstream dataset archives, target GT, private filesystem paths, or training logs are uploaded.
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