---
task_categories:
- object-detection
tags:
- roboflow
---

### Roboflow Dataset Page
[https://universe.roboflow.com/augmented-startups/football-player-detection-kucab](https://universe.roboflow.com/augmented-startups/football-player-detection-kucab?ref=roboflow2huggingface)

### Citation
```
@misc{ football-player-detection-kucab_dataset,
    title = { Football-Player-Detection Dataset },
    type = { Open Source Dataset },
    author = { Augmented Startups },
    howpublished = { \url{ https://universe.roboflow.com/augmented-startups/football-player-detection-kucab } },
    url = { https://universe.roboflow.com/augmented-startups/football-player-detection-kucab },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { nov },
    note = { visited on 2022-12-29 },
}
```

### License
CC BY 4.0

### Dataset Summary
This dataset was exported via roboflow.com on November 21, 2022 at 6:50 PM GMT

Roboflow is an end-to-end computer vision platform that helps you
* collaborate with your team on computer vision projects
* collect & organize images
* understand unstructured image data
* annotate, and create datasets
* export, train, and deploy computer vision models
* use active learning to improve your dataset over time

It includes 1232 images.
Track-players-and-football are annotated in COCO format.

The following pre-processing was applied to each image:
* Auto-orientation of pixel data (with EXIF-orientation stripping)

No image augmentation techniques were applied.