{"url":"/dataset/robotpush","name":"RobotPush","full_name":"RobotPush","description_markdown":"**RobotPush** is a dataset for object singulation – the task of separating cluttered objects through physical interaction. The dataset contains 3456 training images with labels and 1024 validation images with labels. It consists of simulated and real-world data collected from a PR2 robot that equipped with a Kinect 2 camera. The dataset also contains ground truth instance segmentation masks for 110 images in the test set.\r\n\r\nSource: [http://robotpush.cs.uni-freiburg.de/](http://robotpush.cs.uni-freiburg.de/)\nImage Source: [http://robotpush.cs.uni-freiburg.de/](http://robotpush.cs.uni-freiburg.de/)","description_withheld":null,"homepage":"http://robotpush.cs.uni-freiburg.de/","introduced_date":"2017-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-to-singulate-objects-using-a-push","title":"Learning to Singulate Objects using a Push Proposal Network","first_author":"Andreas Eitel","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Instance Segmentation","url":"/task/instance-segmentation","datasets_with_task":"/datasets/task/instance-segmentation"},{"name":"Optical Flow Estimation","url":"/task/optical-flow-estimation","datasets_with_task":"/datasets/task/optical-flow-estimation"}],"languages":[],"variants":["RobotPush"],"data_loaders":[],"num_papers_in_archive":3,"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."}