{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/introducing-the-simulated-flying-shapes-and","title":"Introducing the Simulated Flying Shapes and Simulated Planar Manipulator Datasets","arxiv_id":"1807.00703","date":"2018-07-02","proceeding":null,"authors":["Fabio Ferreira","Jonas Rothfuss","Eren Erdal Aksoy","You Zhou","Tamim Asfour"],"abstract":"We release two artificial datasets, Simulated Flying Shapes and Simulated\nPlanar Manipulator that allow to test the learning ability of video processing\nsystems. In particular, the dataset is meant as a tool which allows to easily\nassess the sanity of deep neural network models that aim to encode, reconstruct\nor predict video frame sequences. The datasets each consist of 90000 videos.\nThe Simulated Flying Shapes dataset comprises scenes showing two objects of\nequal shape (rectangle, triangle and circle) and size in which one object\napproaches its counterpart. The Simulated Planar Manipulator shows a 3-DOF\nplanar manipulator that executes a pick-and-place task in which it has to place\na size-varying circle on a squared platform. Different from other widely used\ndatasets such as moving MNIST [1], [2], the two presented datasets involve\ngoal-oriented tasks (e.g. the manipulator grasping an object and placing it on\na platform), rather than showing random movements. This makes our datasets more\nsuitable for testing prediction capabilities and the learning of sophisticated\nmotions by a machine learning model. This technical document aims at providing\nan introduction into the usage of both datasets.","url_abs":"http://arxiv.org/abs/1807.00703v1","url_pdf":"http://arxiv.org/pdf/1807.00703v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"introducing-the-simulated-flying-shapes-and","repo_url":"https://github.com/ferreirafabio/FlyingShapesDataset","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"introducing-the-simulated-flying-shapes-and","repo_url":"https://github.com/ferreirafabio/PlanarManipulatorDataset","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"planar-manipulator-dataset","name":"Planar Manipulator Dataset","full_name":null},{"slug":"simulated-flying-shapes","name":"Simulated Flying Shapes","full_name":null}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}