keremberke/yolov5s-football
Object Detection
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image_id
int64 0
858
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imagewidth (px) 1.28k
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int32 1.28k
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int32 720
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201
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End of preview. Expand
in Data Studio
Roboflow Dataset Page
https://universe.roboflow.com/augmented-startups/football-player-detection-kucab
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.
- Downloads last month
- 83
Size of downloaded dataset files:
107 MB
Size of the auto-converted Parquet files:
109 MB
Number of rows:
1,232
Models trained or fine-tuned on keremberke/football-object-detection