# Distinguishing Teams in Tracking Players on Field

**URL:** <https://discuss.roboflow.com/t/distinguishing-teams-in-tracking-players-on-field/4709>\
**Category:** 🤝  Community Help\
**Created:** [March 7, 2024, 4:58am UTC](https://discuss.roboflow.com/t/distinguishing-teams-in-tracking-players-on-field/4709 "2024-03-07T04:58:59Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![Mustela\_Erminea](https://yyz1.discourse-cdn.com/flex029/user_avatar/discuss.roboflow.com/mustela_erminea/32/3921_2.png) [@Mustela\_Erminea](https://discuss.roboflow.com/u/Mustela_Erminea)\
**Post date:** [March 7, 2024, 4:58am UTC](https://discuss.roboflow.com/t/distinguishing-teams-in-tracking-players-on-field/4709/1 "2024-03-07T04:58:59Z")

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I’m using this blog [Track Football Players with Computer Vision](https://blog.roboflow.com/track-football-players/) to help me with my project to track American football players on the field. However, I would also like to separate the two teams, and is it possible for me to find the offensive and defensive players on the field? I can make it so that all the offensive players start out on the right hand side on the screen, but I would just like to identify and distinguish between teams.

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**Author:** ![leo](https://yyz1.discourse-cdn.com/flex029/user_avatar/discuss.roboflow.com/leo/32/2228_2.png) [@leo](https://discuss.roboflow.com/u/leo)\
**Post date:** [March 18, 2024, 12:34am UTC](https://discuss.roboflow.com/t/distinguishing-teams-in-tracking-players-on-field/4709/3 "2024-03-18T00:34:14Z")

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Hey @Mustela_Erminea

Yes, its possible, but it’ll require a bit of work on your part. This isn’t a exhaustive list of solutions, but here are some thoughts that could help guide you:

- You could use the dataset linked in the post to create your own dataset with two (or as many as you want) classes for each of the teams. (I found [this Universe dataset](https://universe.roboflow.com/growingkomab-gmail-com/soccer_players_2cameras) which distinguishes the referee, in a similar concept. I recommend searching through Universe)
- You could create a classification model then set up a two-stage model that classifies each player into a team
- You could use some code ([such as from this Stack Overflow post](https://stackoverflow.com/questions/43111029/how-to-find-the-average-colour-of-an-image-in-python-with-opencv)) to find the dominant color from within the image bounding box, then use that to identify the teams.

Hope this helps

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**Author:** ![system](https://canada1.discourse-cdn.com/flex029/uploads/roboflow1/original/1X/bb6edbfa56d0cf2ee603f061e9e09103502cc8cc.png) [@system](https://discuss.roboflow.com/u/system)\
**Post date:** [April 8, 2024, 12:34am UTC](https://discuss.roboflow.com/t/distinguishing-teams-in-tracking-players-on-field/4709/4 "2024-04-08T00:34:44Z")

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Closed on April 8, 2024, 12:34am UTC

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