{"url":"/dataset/cityscapes-motion","name":"Cityscapes-Motion","full_name":"Cityscapes-Motion","description_markdown":"The **Cityscapes-Motion** dataset is a supplement to the semantic annotations provided by the Cityscapes dataset, containing 2975 training images and 500 validation images. The dataset creators provide manually annotated motion labels for the category of cars. The images are of resolution 2048×1024 pixels. The task to learn is not just semantic segmentation but also the motion status of the objects.\n\nSource: [http://deepmotion.cs.uni-freiburg.de/](http://deepmotion.cs.uni-freiburg.de/)\nImage Source: [http://deepmotion.cs.uni-freiburg.de/](http://deepmotion.cs.uni-freiburg.de/)","description_withheld":null,"homepage":"http://deepmotion.cs.uni-freiburg.de/","introduced_date":"2017-01-01","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["Cityscapes-Motion"],"data_loaders":[],"num_papers_in_archive":0,"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."}