| task_categories: | |
| - object-detection | |
| tags: | |
| - roboflow | |
| ### Roboflow Dataset Page | |
| https://universe.roboflow.com/augmented-startups/football-player-detection-kucab | |
| ### Citation | |
| ``` | |
| football | |
| ``` | |
| ### 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. | |