README.md

---
tags:
- yolov8
- yolo
- vision
- object-detection
- pytorch
base_model: Ultralytics/YOLOv8

datasets:
- keremberke/license-plate-object-detection
pipeline_tag: object-detection


model-index:
- name: AZIIIIIIIIZ/License-plate-detection
  results:
  - task:
      type: object-detection

    dataset:
      type: keremberke/license-plate-object-detection
      name: keremberke/license-plate-object-detection
      split: validation

    metrics:
      - type: precision  # since mAP@0.5 is not available on hf.co/metrics
        value: 0.9835086807525848  # min: 0.0 - max: 1.0
        name: mAP@0.5
---

<div align="center">
  <img width="320" alt="AZIIIIIIIIZ/License-plate-detection" src="https://huggingface.co/AZIIIIIIIIZ/License-plate-detection/blob/main/sample_output.jpg">
</div>