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strinova-player-detection
MUSTAR/strinova-player-detection
strinova-player-detection is a object detection model from MUSTAR. Use it when you need objects located in an image. The card lists the license as mit.
YOLOv8 real-time player detection trained on Strinova gameplay footage.
Access
Public
Updated Mar 27, 2026
Repo size
118 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.engine88.8 MB · 75%
At a glance
- Task
- Object Detection
- License
- mit
- Access
- Public
- Created
- Mar 27, 2026
- Updated
- Mar 27, 2026
- SHA
- c65eedd1
Model card
From the Hugging Face model README
strinova-player-detection
YOLOv8 real-time player detection trained on Strinova gameplay footage.
Models
| Variant | Size | [email protected] | Precision | Recall |
|---|---|---|---|---|
| YOLOv8n (nano) | 6MB | 97.7% | 96.6% | 92.3% |
| YOLOv8s (small) | 22MB | 95.2% | 92.5% | 92.3% |
| YOLOv8s TensorRT | 25MB | — | — | — |
| YOLOv8s TensorRT FP32 | 61MB | — | — | — |
Trained on RTX 4070 Ti. Dataset: 643 annotated images from Roboflow Universe.
Usage
from ultralytics import YOLO
model = YOLO("yolov8n.pt")
results = model.predict("image.jpg")
GitHub
- Task
- Object Detection
- License
- mit
- Created
- Mar 27, 2026
- Updated
- Mar 27, 2026