{"url":"/dataset/rmrc-2014","name":"RMRC 2014","full_name":"RMRC 2014","description_markdown":"The **RMRC 2014** indoor dataset is a dataset for indoor semantic segmentation. It employs the NYU Depth V2 and Sun3D datasets to define the training set. The test data consists of newly acquired images.\n\nSource: [https://cs.nyu.edu/~silberman/rmrc2014/indoor.php](https://cs.nyu.edu/~silberman/rmrc2014/indoor.php)\nImage Source: [https://cs.nyu.edu/~silberman/rmrc2014/indoor.php](https://cs.nyu.edu/~silberman/rmrc2014/indoor.php)","description_withheld":null,"homepage":"https://cs.nyu.edu/~silberman/rmrc2014/indoor.php","introduced_date":"2012-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Indoor Segmentation and Support Inference from RGBD Images","first_author":null,"url":"https://arxiv.org/pdf/1301.3572.pdf"},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[],"languages":[],"variants":["RMRC 2014"],"data_loaders":[],"num_papers_in_archive":1,"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."}