{"id":23813816,"url":"https://github.com/olitheolix/ds2data","last_synced_at":"2026-04-28T17:33:09.927Z","repository":{"id":151814438,"uuid":"94598683","full_name":"olitheolix/ds2data","owner":"olitheolix","description":"Space Sim Inspired Data Set for Machine Learning Purposes","archived":false,"fork":false,"pushed_at":"2017-08-16T07:07:37.000Z","size":1571,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-06-03T03:57:22.487Z","etag":null,"topics":["3d-models","deep-learning","deep-neural-networks","machine-learning","space-sim","tensorflow"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/olitheolix.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2017-06-17T03:43:03.000Z","updated_at":"2018-05-08T14:15:22.000Z","dependencies_parsed_at":"2023-05-10T20:30:42.570Z","dependency_job_id":null,"html_url":"https://github.com/olitheolix/ds2data","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/olitheolix/ds2data","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/olitheolix%2Fds2data","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/olitheolix%2Fds2data/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/olitheolix%2Fds2data/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/olitheolix%2Fds2data/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/olitheolix","download_url":"https://codeload.github.com/olitheolix/ds2data/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/olitheolix%2Fds2data/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32392294,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-28T14:34:11.604Z","status":"ssl_error","status_checked_at":"2026-04-28T14:32:37.009Z","response_time":56,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["3d-models","deep-learning","deep-neural-networks","machine-learning","space-sim","tensorflow"],"created_at":"2025-01-02T03:37:48.050Z","updated_at":"2026-04-28T17:33:09.921Z","avatar_url":"https://github.com/olitheolix.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DS2Data\n\nA Space Sim inspired data set to experiment with machine learning.\n\nThe objects of interest are cubes with a number on them. You may think of it as\na 3D version of the [MNIST](http://yann.lecun.com/exdb/mnist/) data set.\n\n\u003cimg src=\"docs/img/cube_samples.png\"\u003e\n\nIn addition to the training samples, the data also contains pre-rendered flight\nthrough a 3D space scene.\n\nThe meta data for the flight is in `flightpath/meta.pickle`. It contains, among\nother things, the screen position of each cube in each frame. The\n`draw_bboxes.py` script shows how to use this information to draw bounding\nboxes around all cubes.\n\n| Original Scene               | After `draw_bboxes.py`      |\n| ---------------------------- | --------------------------- |\n|![](docs/img/scene_plain.jpg) | ![](docs/img/scene_bbox.jpg)|\n\n\n# Installation\nDownload the [dataset](ds2.tar.gz) and use it in your ML model as you see fit.\n\n# License\nThe data set and code are available under the Apache Software License 2.0.\n\n# Disclaimer\nThe numeral textures are royalty free images\nfrom\n[PixaBay](https://pixabay.com/en/photos/?hp=\u0026image_type=\u0026cat=\u0026min_width=\u0026min_height=\u0026q=counting+math+numbers+numerals+funny\u0026order=popular).\nThe rendered images were created with\n[PyHorde](https://github.com/olitheolix/pyhorde).\n\n# Results\nMy own models are in the `models/` folder. The results are documented\n[here](https://olitheolix.github.io/ds2data/)\n\n# Feeback\nI would be happy to hear from anyone who uses it. Does it work for you? Is\nsomething missing? Which ML models have you built for it and how well did they\ndo?\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Folitheolix%2Fds2data","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Folitheolix%2Fds2data","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Folitheolix%2Fds2data/lists"}