name: '图像目标检测（YOLOv8）'
name_en: 'Image Object Detection (YOLOv8)'
description: '基于 YOLOv8 的目标检测算子，输出带框图像与标注 JSON。'
description_en: 'YOLOv8-based object detection operator that outputs boxed images and annotation JSON files.'
language: 'python'
vendor: 'huawei'
raw_id: 'ImageObjectDetectionBoundingBox'
version: '1.0.0'
types:
  - 'annotation'
modal: 'image'
inputs: 'image'
outputs: 'image'
settings:
  modelSize:
    name: '模型规模'
    description: 'YOLOv8 模型规模：n/s/m/l/x。'
    type: 'select'
    defaultVal: 'l'
    options:
      - label: 'n'
        value: 'n'
      - label: 's'
        value: 's'
      - label: 'm'
        value: 'm'
      - label: 'l'
        value: 'l'
      - label: 'x'
        value: 'x'
  confThreshold:
    name: '置信度阈值'
    description: '检测结果最小置信度，范围 0~1。'
    type: 'slider'
    defaultVal: 0.7
    min: 0
    max: 1
    step: 0.01
  targetClasses:
    name: '目标类别'
    description: 'COCO 类别 ID 列表；为空表示全部类别。'
    type: 'input'
    defaultVal: '[]'
  outputDir:
    name: '输出目录'
    description: '算子输出目录（由运行时注入）。'
    type: 'input'
    defaultVal: ''