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fursuit-yolo11m
nexwayne/fursuit-yolo11m
fursuit-yolo11m is a object detection model from nexwayne. Use it when you need objects located in an image. It is set up for ultralytics. The card lists the license as apache-2.0.
Custom object detection model based on YOLO11m trained specifically for detecting fursuit heads in images and video streams.
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Repo size
40.5 MB
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At a glance
- Task
- Object Detection
- Library
- ultralytics
- License
- apache-2.0
- Access
- Public
- Created
- Aug 8, 2026
- Updated
- Aug 8, 2026
- SHA
- 5be3b4c1
Model card
From the Hugging Face model README
Fursuit Head Detection (YOLO11m)
Custom object detection model based on YOLO11m trained specifically for detecting fursuit heads in images and video streams.
The dataset includes negative background samples (real animals, birds, etc.) to minimize false positives.
Model Performance
| Metric | Value |
|---|---|
| mAP@50 | 0.918 (91.8%) |
| mAP@50-95 | 0.656 (65.6%) |
| Precision | 0.940 (94.0%) |
| Recall | 0.845 (84.5%) |
| Optimal Conf Threshold | 0.49 |
Usage Examples
Option 1: Direct Download via Python
from ultralytics import YOLO
# Load weights directly from Hugging Face Hub
model = YOLO("https://huggingface.co/nexwayne/fursuit-yolo11m/resolve/main/best.pt")
# Perform inference with optimal confidence threshold
results = model.predict(
source="path/to/image.jpg",
conf=0.49,
save=True
)
# Show results
results[0].show()
- Task
- Object Detection
- Library
- ultralytics
- License
- apache-2.0
- Created
- Aug 8, 2026
- Updated
- Aug 8, 2026