Computer vision in sports: applications and challenges | SuperAnnotate
Analysis of International Football Matches Between 1872 and 2018 (More than 40,000 Matches) | Ammar's Website
Football Games Analysis from video stream with Machine Learning | by Nicolo' Lucchesi | Towards Data Science
Using SAM for the Prediction of Segmentations on the Kaggle Football Player Segmentation Dataset
GitHub - timurkulenovic/football-dataset: Repository contains comprehensive data from football matches from various football leagues
Football DataSet +96k matches (18 leagues)
Computer Vision Group @ KTH
A public data set of spatio-temporal match events in soccer competitions | Scientific Data
Using SAM for the Prediction of Segmentations on the Kaggle Football Player Segmentation Dataset
A deep learning framework for football match prediction | Discover Applied Sciences
The dataset used by previous researchers for BNs football prediction model | Download Scientific Diagram
A public data set of spatio-temporal match events in soccer competitions | Scientific Data
Analysis of International Football Matches Between 1872 and 2018 (More than 40,000 Matches) | Ammar's Website
Using SAM for the Prediction of Segmentations on the Kaggle Football Player Segmentation Dataset
Using SAM for the Prediction of Segmentations on the Kaggle Football Player Segmentation Dataset - Voxel51
Serie A Matches Dataset
GitHub - aritrartira/Football-Shots-Dataset-for-xG-models: A dataset to store information about shots taken in football matches. Meant for creating xG models (for personal use, not commercial).
Hacking football: build a comprehensive player metrics dataset for 0$ | by Belkacem Berchiche | Medium
README
International Football Results From 1872 To 2021 - Notebook by ILYASS OUZZOU (i-ouzzou) | Jovian
Soccernet-V2 dataset samples and pose extraction | Download Scientific Diagram
