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

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")