{"url":"/dataset/s2rda","name":"S2RDA","full_name":null,"description_markdown":"Our proposed Synthetic-to-Real benchmark for more practical visual DA (termed S2RDA) includes two challenging transfer tasks of S2RDA-49 and S2RDA-MS-39. In each task, source/synthetic domain samples are synthesized by rendering 3D models from ShapeNet. The used 3D models are in the same label space as the target/real domain and each class has 12K rendered RGB images. The real domain of S2RDA-49 comprises 60,535 images of 49 classes, collected from ImageNet validation set, ObjectNet, VisDA-2017 validation set, and the web. For S2RDA-MS-39, the real domain collects 41,735 natural images exclusive for 39 classes from MetaShift, which contain complex and distinct contexts, e.g., object presence (co-occurrence of different objects), general contexts (indoor or outdoor), and object attributes (color or shape), leading to a much harder task. Compared to VisDA-2017, our S2RDA contains more categories, more realistically synthesized source domain data coming for free, and more complicated target domain data collected from diverse real-world sources, setting a more practical, challenging benchmark for future DA research.","description_withheld":null,"homepage":"https://cove.thecvf.com/datasets/892","introduced_date":"2023-06-18","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-new-benchmark-on-the-utility-of-synthetic","title":"A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation","first_author":"Hui Tang","url":null},"license":{"name":"MIT License","url":"https://github.com/huitangtang/On_the_Utility_of_Synthetic_Data/blob/main/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"},{"name":"Domain Adaptation","url":"/task/domain-adaptation","datasets_with_task":"/datasets/task/domain-adaptation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["S2RDA"],"data_loaders":[],"num_papers_in_archive":2,"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."}