{"id":15158032,"url":"https://github.com/razerxp/footballer-classification","last_synced_at":"2026-01-20T13:08:34.797Z","repository":{"id":251542970,"uuid":"837716852","full_name":"RazerXP/Footballer-Classification","owner":"RazerXP","description":"Identifies footballers among a group of 5","archived":false,"fork":false,"pushed_at":"2024-08-04T15:25:34.000Z","size":15497,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-07T14:48:12.024Z","etag":null,"topics":["classification","machine-learning","opencv-python","sklearn","svc-model"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/RazerXP.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2024-08-03T20:04:42.000Z","updated_at":"2024-08-04T15:25:37.000Z","dependencies_parsed_at":null,"dependency_job_id":"1a3feac3-dceb-46b8-99f1-53ca42b481ce","html_url":"https://github.com/RazerXP/Footballer-Classification","commit_stats":{"total_commits":11,"total_committers":1,"mean_commits":11.0,"dds":0.0,"last_synced_commit":"7fb1f9975a19da5e28f5b8189c2b1a709fb9c7e5"},"previous_names":["razerxp/footballer-classification"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RazerXP%2FFootballer-Classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RazerXP%2FFootballer-Classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RazerXP%2FFootballer-Classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RazerXP%2FFootballer-Classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/RazerXP","download_url":"https://codeload.github.com/RazerXP/Footballer-Classification/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247675627,"owners_count":20977376,"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":["classification","machine-learning","opencv-python","sklearn","svc-model"],"created_at":"2024-09-26T20:22:01.842Z","updated_at":"2026-01-20T13:08:34.763Z","avatar_url":"https://github.com/RazerXP.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Footballer-Classification\nIdentifies and classifies footballers among a group of 5\n\n## Requirements\nOpenCV\n\n              pip install opencv-python\nScikit-learn\n    \n              pip install scikit-learn\n\nOpenCV Haarcascades Github xml files\nhttps://github.com/opencv/opencv/tree/master/data/haarcascades\n              \n\nOpenCV to read images\u003cbr\u003e\nOpenCV Haarcascades to identify Faces and Eyes\u003cbr\u003e\nUses SVC and Pipeline from Scikit-Learn library in Python\u003cbr\u003e\n\n## What it does\nIn this data science and machine learning project, we classify 5 different Players playing for Manchester city football club,\n\n1) Kevin De Bruyne\n2) Erling Haaland\n3) Phil Foden\n4) Bernardo Silva\n5) Rodri\n\n\n## Usage\nTo test clone this repo and add your image(s) to the \"test images\" folder. \nThen run 'predictor.ipynb' notebook to find out the results.\n\n## Technologies Used\n\n1. Python\n2. Numpy and OpenCV for data cleaning\n3. Matplotlib for data visualization\n4. Sklearn for model building\n5. Jupyter notebook, Google Collab as IDE\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frazerxp%2Ffootballer-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frazerxp%2Ffootballer-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frazerxp%2Ffootballer-classification/lists"}