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vyra-yolo-ppe-detection
Hexmon/vyra-yolo-ppe-detection
vyra-yolo-ppe-detection is a object detection model from Hexmon. Use it when you need objects located in an image. It is set up for ultralytics. The card lists the license as cc-by-4.0.
A YOLOv8-medium model fine-tuned to detect Personal Protective Equipment (PPE) in images and video.
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At a glance
- Task
- Object Detection
- Library
- ultralytics
- License
- cc-by-4.0
- Access
- Public
- Created
- Feb 18, 2026
- Updated
- Feb 18, 2026
- SHA
- 08895b33
Model card
From the Hugging Face model README
YOLOv8m PPE / Helmet Detection
A YOLOv8-medium model fine-tuned to detect Personal Protective Equipment (PPE) in images and video.
Classes (14)
| ID | Class | ID | Class |
|---|---|---|---|
| 0 | Fall-Detected | 7 | NO-Goggles |
| 1 | Gloves | 8 | NO-Hardhat |
| 2 | Goggles | 9 | NO-Mask |
| 3 | Hardhat | 10 | NO-Safety Vest |
| 4 | Ladder | 11 | Person |
| 5 | Mask | 12 | Safety Cone |
| 6 | NO-Gloves | 13 | Safety Vest |
Quick Start
from ultralytics import YOLO
# Load from Hugging Face
model = YOLO("hf://Hexmon/vyra-yolo-ppe-detection/best.pt")
# Run inference
results = model.predict("image.jpg", conf=0.5)
results[0].show()
Training Details
- Base model: YOLOv8m (pretrained on COCO)
- Image size: 640
- Epochs: 100
- Batch size: 32
- Dataset: PPE Combined Model v4 (CC BY 4.0)
Usage Examples
Webcam:
model.predict(source=0, show=True, conf=0.5)
Video:
model.predict("video.mp4", conf=0.5, save=True)
Access detections:
results = model.predict("image.jpg", conf=0.5)
for box in results[0].boxes:
print(model.names[int(box.cls)], float(box.conf))
- Task
- Object Detection
- Library
- ultralytics
- License
- cc-by-4.0
- Languages
- en
- Created
- Feb 18, 2026
- Updated
- Feb 18, 2026