{"url":"/dataset/partimagenet","name":"PartImageNet","full_name":null,"description_markdown":"**PartImageNet** is a large, high-quality dataset with part segmentation annotations. It consists of 158 classes from [ImageNet](/dataset/imagenet) with approximately 24000 images. PartImageNet offers part-level annotations on a general set of classes with non-rigid, articulated objects, while having an order of magnitude larger size compared to existing datasets. It can be utilized in multiple vision tasks including but not limited to: Part Discovery, Semantic Segmentation, Few-shot Learning.","description_withheld":null,"homepage":"https://github.com/TACJu/PartImageNet","introduced_date":"2021-12-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/partimagenet-a-large-high-quality-dataset-of","title":"PartImageNet: A Large, High-Quality Dataset of Parts","first_author":"Ju He","url":null},"license":{"name":"Custom","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"}],"languages":[],"variants":["PartImageNet"],"data_loaders":[],"num_papers_in_archive":29,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}