Soccer Players Computer Vision Project

Drop an image or

Soccer (Fùtbol) Match Analysis

FIFA World Cup - Qatar 2022

United States of America (USA) vs. Netherlands (NED) on Dec. 3, 2022

This dataset includes classes for:

  • USA (USA players)
  • NED (NED players)
  • Ball (soccer/fùtbol)
  • Ref (referee)
  • Goalie
  • GOAL (soccer/fùtbol goal)

(video/GIF slowed to help with visualization)
Example Video from Deploy Tab

How to Use this Dataset/Project:

This is a great starter-dataset for anyone wanting to make computer vision models for player-tracking, ball-tracking, or other game/match analytics.

  • If the player-classes are left as USA and NED, then you will be tracking players with labels of USA and NED.
  • If the player-classes are updated to Team1 and Team2 with Modify Classes, then you will be tracking players with labels of Team1 and Team2.
  • If the player-classes are all updated to Player with Modify Classes, then you will be tracking all players on the pitch with labels of Player.

Next Steps/Dataset and Model Improvement:

Try Cloning this project and adding more of your own images or video; images from another project on Roboflow Universe, or a video from YouTube.

UPDATES (12/15/2022):

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ soccer-players-ckbru_dataset,
    title = { Soccer Players Dataset },
    type = { Open Source Dataset },
    author = { Roboflow Universe Projects },
    howpublished = { \url{ https://universe.roboflow.com/roboflow-universe-projects/soccer-players-ckbru } },
    url = { https://universe.roboflow.com/roboflow-universe-projects/soccer-players-ckbru },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { dec },
    note = { visited on 2023-02-01 },

Last Updated

2 months ago

Project Type

Object Detection




Ball, GOAL, Goalie, NED, Ref, USA, football, player


CC BY 4.0