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Enos-123/
accident-evaluator-yolov8x

Name: accident-evaluator-yolov8x
Rating: 2.5 (25 reviews)

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📌 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

python

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")