Hexmon/vyra-yolo-ppe-detection

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))