sports and football-computer-vision

These tools are competitors, with A being a more established and comprehensive platform for computer vision in sports and B being a specific, less mature project focused on football analysis.

sports
53
Established
football-computer-vision
28
Experimental
Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 0/25
Adoption 5/25
Maturity 9/25
Community 14/25
Stars: 4,897
Forks: 590
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 12
Forks: 3
Downloads:
Commits (30d): 0
Language: Python
License:
No Package No Dependents
Stale 6m No Package No Dependents

About sports

roboflow/sports

computer vision and sports

Combines object detection, image segmentation, and keypoint detection to tackle sports-specific challenges like ball tracking, player re-identification, jersey number OCR, and court/pitch calibration. Provides curated datasets and integrates with Roboflow's inference engine and autodistill framework for model training and deployment across soccer, basketball, and other sports.

About football-computer-vision

JanSkn/football-computer-vision

Using machine learning (computer vision & deep learning) to analyse football match parameters such as ball possession, tracking players and more.

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