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HLouy/
yolov26m-sportsmot-football

Name: yolov26m-sportsmot-football
Availability: InStock

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YOLOv26m Finetuned for SportsMOT (Football)

This repository contains a YOLOv26m model fine-tuned on the SportsMOT dataset, specifically optimized for football player detection and tracking in broadcast videos.

Performance Metrics

The model was evaluated on the validation set with the following results:

Metric	Value
mAP50	0.9705
mAP50-95	0.8377
Precision	0.9395
Recall	0.9416
Inference Speed	6.7ms (TensorRT/FP16)

Detailed Validation Metrics

The following metrics were captured at the best epoch:

Box Loss (Val): 0.617
Class Loss (Val): 0.397
F1-Score: 0.94 at 0.528 confidence

Training Results)

Validation Predictions

Usage

You can use this model directly with the ultralytics library:

python

from ultralytics import YOLO

# Load the model directly from Hugging Face
model = YOLO("HLouy/yolov26m-sportsmot-football")

# Run tracking on a football match video
results = model.track(source="path/to/video.mp4", conf=0.3, iou=0.5, save=True)