{"url":"/dataset/silhouettes","name":"Silhouettes","full_name":"CalTech 101 Silhouettes","description_markdown":"The Caltech 101 **Silhouettes** dataset consists of 4,100 training samples, 2,264 validation samples and 2,307 test samples. The datast is based on CalTech 101 image annotations. Each image in the CalTech 101 data set includes a high-quality polygon outline of the primary object in the scene. To create the **CalTech 101 Silhouettes** data set, the authors center and scale each outline and render it on a DxD pixel image-plane. The outline is rendered as a filled, black polygon on a white background. Many object classes exhibit silhouettes that have distinctive class-specific features. A relatively small number of classes like soccer ball, pizza, stop sign, and yin-yang are indistinguishable based on shape, but have been left-in in the data.\r\n\r\nSource: [1 Introduction](https://arxiv.org/abs/1506.04557)\r\nImage Source: [https://people.cs.umass.edu/~marlin/data.shtml](https://people.cs.umass.edu/~marlin/data.shtml)","description_withheld":null,"homepage":"https://people.cs.umass.edu/~marlin/data.shtml","introduced_date":"2010-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Inductive Principles for Restricted Boltzmann Machine Learning","first_author":null,"url":"http://proceedings.mlr.press/v9/marlin10a.html"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Density Estimation","url":"/task/density-estimation","datasets_with_task":"/datasets/task/density-estimation"},{"name":"Variational Inference","url":"/task/variational-inference","datasets_with_task":"/datasets/task/variational-inference"}],"languages":[],"variants":["Silhouettes"],"data_loaders":[],"num_papers_in_archive":27,"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":"2026-09-25T09:33:49+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."}