{"url":"/dataset/sun09","name":"SUN09","full_name":"SUN09","description_markdown":"The **SUN09** dataset consists of 12,000 annotated images with more than 200 object categories. It consists of natural, indoor and outdoor images. Each image contains an average of 7 different annotated objects and the average occupancy of each object is 5% of image size. The frequencies of object categories follow a power law distribution.\r\n\r\nSource: [A Pooling Approach to Modelling Spatial Relations forImage Retrieval and Annotation](https://arxiv.org/abs/1411.5190)\r\nImage Source: [http://people.csail.mit.edu/myungjin/HContext.html](http://people.csail.mit.edu/myungjin/HContext.html)","description_withheld":null,"homepage":"http://people.csail.mit.edu/myungjin/HContext.html","introduced_date":"2010-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Exploiting hierarchical context on a large database of object categories","first_author":null,"url":"https://doi.org/10.1109/CVPR.2010.5540221"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Left Ventricle Segmentation","url":"/task/left-ventricle-segmentation","datasets_with_task":"/datasets/task/left-ventricle-segmentation"}],"languages":[],"variants":["SUN09"],"data_loaders":[],"num_papers_in_archive":26,"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."}