{"id":13477016,"url":"https://github.com/roboflow/sports","last_synced_at":"2025-05-15T03:04:52.158Z","repository":{"id":239743270,"uuid":"800021661","full_name":"roboflow/sports","owner":"roboflow","description":"computer vision and sports","archived":false,"fork":false,"pushed_at":"2024-08-19T13:31:21.000Z","size":4839,"stargazers_count":3249,"open_issues_count":21,"forks_count":386,"subscribers_count":65,"default_branch":"main","last_synced_at":"2025-05-15T03:04:17.750Z","etag":null,"topics":["computer-vision","deep-learning","deep-neural-networks","football","football-data","image-embeddings","keypoint-detection","object-detection","soccer","soccer-analytics","soccer-data","sports","sports-analytics","sports-data","tutorial","visualization"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/roboflow.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}},"created_at":"2024-05-13T14:51:16.000Z","updated_at":"2025-05-14T23:01:21.000Z","dependencies_parsed_at":"2024-07-29T11:27:24.507Z","dependency_job_id":"4e15ae97-bc03-4e12-b45b-edabbe1a770f","html_url":"https://github.com/roboflow/sports","commit_stats":null,"previous_names":["roboflow/sports"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/roboflow%2Fsports","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/roboflow%2Fsports/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/roboflow%2Fsports/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/roboflow%2Fsports/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/roboflow","download_url":"https://codeload.github.com/roboflow/sports/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254264765,"owners_count":22041793,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["computer-vision","deep-learning","deep-neural-networks","football","football-data","image-embeddings","keypoint-detection","object-detection","soccer","soccer-analytics","soccer-data","sports","sports-analytics","sports-data","tutorial","visualization"],"created_at":"2024-07-31T16:01:37.241Z","updated_at":"2025-05-15T03:04:52.110Z","avatar_url":"https://github.com/roboflow.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"\u003cdiv align=\"center\"\u003e\n\n  \u003ch1\u003esports\u003c/h1\u003e\n\n[notebooks](https://github.com/roboflow/notebooks) | [inference](https://github.com/roboflow/inference) | [autodistill](https://github.com/autodistill/autodistill) | [maestro](https://github.com/roboflow/multimodal-maestro)\n\n\u003c/div\u003e\n\n## 👋 hello\n\nIn sports, every centimeter and every second matter. That's why Roboflow decided to use sports as a testing ground to push our object detection, image segmentation, keypoint detection, and foundational models to their limits. This repository contains reusable tools that can be applied in sports and beyond.\n\n## 🥵 challenges\n\nAre you also a fan of computer vision and sports?  We welcome contributions from anyone who shares our passion! Together, we can build powerful open-source tools for sports analytics. Here are the main challenges we're looking to tackle:\n\n- **Ball tracking:** Tracking the ball is extremely difficult due to its small size and rapid movements, especially in high-resolution videos.\n- **Reading jersey numbers:** Accurately reading player jersey numbers is often hampered by blurry videos, players turning away, or other objects obscuring the numbers.\n- **Player tracking:** Maintaining consistent player identification throughout a game is a challenge due to frequent occlusions caused by other players or objects on the field.\n- **Player re-identification:** Re-identifying players who have left and re-entered the frame is tricky, especially with moving cameras or when players are visually similar.\n- **Camera calibration:** Accurately calibrating camera views is crucial for extracting advanced statistics like player speed and distance traveled. This is a complex task due to the dynamic nature of sports and varying camera angles.\n\n## 💻 install\n\nWe don't have a Python package yet. Install from source in a\n[**Python\u003e=3.8**](https://www.python.org/) environment.\n\n```bash\npip install git+https://github.com/roboflow/sports.git\n```\n\n## ⚽ datasets\n\n| use case                        | dataset                                                                                                                                                          |\n|:--------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| soccer player detection         | [![Download Dataset](https://app.roboflow.com/images/download-dataset-badge.svg)](https://universe.roboflow.com/roboflow-jvuqo/football-players-detection-3zvbc) |\n| soccer ball detection           | [![Download Dataset](https://app.roboflow.com/images/download-dataset-badge.svg)](https://universe.roboflow.com/roboflow-jvuqo/football-ball-detection-rejhg)    |\n| soccer pitch keypoint detection | [![Download Dataset](https://app.roboflow.com/images/download-dataset-badge.svg)](https://universe.roboflow.com/roboflow-jvuqo/football-field-detection-f07vi)   |\n\nVisit [Roboflow Universe](https://universe.roboflow.com/) and explore other sport-related datasets.\n\n## 🔥 demos\n\nhttps://github.com/roboflow/sports/assets/26109316/7ad414dd-cc4e-476d-9af3-02dfdf029205\n\n## 🏆 contribution\n\nWe love your input! [Let us know](https://github.com/roboflow/sports/issues) what else we should build!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Froboflow%2Fsports","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Froboflow%2Fsports","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Froboflow%2Fsports/lists"}