{"url":"/dataset/red","name":"RED","full_name":"Real Embodied Dataset","description_markdown":"The **Real Embodied Dataset** (**RED**) is a computer vision large-scale dataset for grasping in cluttered scenes. It contains complete segmentation masks for partially occluded objects, with their order of occlusion.\n\nSource: [https://arxiv.org/pdf/2004.13358.pdf](https://arxiv.org/pdf/2004.13358.pdf)\nImage Source: [https://arxiv.org/pdf/2004.13358.pdf](https://arxiv.org/pdf/2004.13358.pdf)","description_withheld":null,"homepage":"https://github.com/cxy1997/Transferable-Active-Grasping","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/transferable-active-grasping-and-real","title":"Transferable Active Grasping and Real Embodied Dataset","first_author":"Xiangyu Chen","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["Red Wine","RED"],"data_loaders":[{"repo":"https://github.com/cxy1997/Transferable-Active-Grasping","url":"https://github.com/cxy1997/Transferable-Active-Grasping","frameworks":["pytorch"]}],"num_papers_in_archive":4,"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."}