Enos-123/accident-evaluator-yolov8x

📌 YOLOv8x Accident Evaluator

YOLOv8x-Accident-Evaluator is a custom object detection model trained to detect road accident scenarios and severity levels using the Roboflow Accident Evaluator dataset.

🚀 Model Details

• Architecture: YOLOv8x (You Only Look Once, version 8, extra-large)
• Trained by: Uppada Enos & Ultralytics Team
• Contact: Uppada Enos
• License: MIT

🏷️ Detection Classes

• detected-injury
• fire
• high severity
• low severity
• medium severity
• smoke

🧪 Performance Metrics

Metric	Score
mAP@0.5	0.697
mAP@0.5:0.95	0.438
Precision	0.764
Recall	0.646

Per-class mAP@0.5:

• detected-injury: 0.741
• fire: 0.611
• high: 0.869
• low: 0.834
• medium: 0.795
• smoke: 0.331

📂 Usage

from ultralytics import YOLO

model = YOLO("Enos-123/accident-evaluator-yolov8x")

results = model("example.jpg", imgsz=640, conf=0.25)
results.show()
results.save(save_dir="inference_output")