Dataset · Hugging Face

shijli/davis2017

Name: davis2017
Creator: shijli
License: cc-by-nc-4.0
Keywords: task_categories:image-segmentation, task_categories:video-classification, language:en, license:cc-by-nc-4.0, size_categories:1K<n<10K, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:1704.00675, region:us, davis

DAVIS 2017 DAVIS 2017 (Densely Annotated VIdeo Segmentation), the semi-supervised video object segmentation benchmark, packed once from the official 480p trainval archive with one row per frame, so it loads in one line and no data path has to be configured: from datasets import load_dataset ds = load_dataset("shijli/davis2017", "semi-supervised") # 60 train / 30 val videos, 480p In semi-supervised video object segmentation, the mask of the first frame is given and the objects… See the full description on the dataset page: https://huggingface.co/datasets/shijli/davis2017.

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Author / organization	shijli
License (as declared)	cc-by-nc-4.0
Downloads	311 (as reported by Hugging Face)
Likes	0
Created	4 October 2026
Last updated at source	4 October 2026

davisvideo-object-segmentationsemi-supervised-vossegmentation

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