martinjolif/yolo-football-pitch-detection

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version: 0.1.0

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Football Player Detection (YOLOv8x)

This model is a fine-tuned YOLOv8x pose estimator trained to identify keypoints in football (soccer) match images.
It was trained on the martinjolif/football-pitch-detection dataset and is suitable for sports analytics tasks such as identifying pitch keypoints.

Detected Classes

• 32 keypoints

Training Details

• Base model: Ultralytics YOLOv8x
• Task: Pose Estimation
• Dataset: martinjolif/football-pitch-detection
• License: AGPL-3.0

Evaluation Results

Results on the test split using standard object detection metrics (Precision, Recall, F1, mAP50, mAP50-95):

(To do)

Prediction Examples:

Notes

Intended Use

• Football match analytics
• Homography calibration
• Research in sports computer vision

Limitations

• Performance may drop on non-broadcast footage, unusual camera angles, or low-resolution images.
• Trained specifically for football (soccer); not intended for other sports without further fine-tuning.

Usage

wget https://huggingface.co/martinjolif/yolo-football-pitch-detection/blob/main/yolo-football-pitch-detection.pt

from ultralytics import YOLO

model = YOLO("yolo-football-pitch-detection.pt")

Citation

If you use this model or the dataset, please cite the dataset authors and Ultralytics YOLO accordingly.