Computer vision microsoft认知服务api中是否有名人检测的最低置信度？

我所看到的所有关于名人侦测的秘密都非常高。是否存在一些API不考虑名人的最小可信度阈值？

< P>如果API不识别名人，API将返回空的或空的<代码>“名人”< /代码> JSON数组，只返回“<代码> >名人”< /代码> JSON数组，如果<代码>“信心”级别高于

0

下面是一个示例，通过计算机视觉API页面中的部分运行迈克尔·杰克逊的两张照片：

识别Michael Jackson，并返回一个填充的

“名人”

JSON数组

无法识别Michael Jackson，并返回一个空的

“名人”

JSON数组

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是的，请检查我的更新答案，我包括了一个例子。第一张图片，azure 99.9%相信这是迈克尔·杰克逊，第二张图片azure不认为这是迈克尔·杰克逊。。。你把我联系在一起，根本没有什么门槛感。我已经通过API运行了20k张图片，但还没有找到一位名人的自信心低于90%。根据经验，这表明90%是临界值。您声明它高于0，您能提供文档或代码吗？我链接的示例表明，如果置信度低于0，API将返回一个空的“名人”JSON数组，因此没有置信度，是的，文档中声明“置信度，介于0和1之间”：

{
  "categories": [
    {
      "name": "people_portrait",
      "score": 0.62109375,
      "detail": {
        "celebrities": [
          {
            "name": "Michael Jackson",
            "faceRectangle": {
              "left": 377,
              "top": 282,
              "width": 381,
              "height": 381
            },
            "confidence": 0.99902832508087158
          }
        ],
        "landmarks": null
      }
    }
  ],
  "adult": null,
  "tags": [
    {
      "name": "person",
      "confidence": 0.99581664800643921
    }
  ],
  "description": {
    "tags": [
      "person",
      "man",
      "young",
      "standing",
      "looking",
      "front",
      "holding",
      "wearing",
      "shirt",
      "posing",
      "boy",
      "white",
      "smiling",
      "dark",
      "black",
      "table",
      "large",
      "suit",
      "woman",
      "board"
    ],
    "captions": [
      {
        "text": "Michael Jackson posing for the camera",
        "confidence": 0.91584373926593021
      }
    ]
  },
  "requestId": "ac41aa84-9a70-4ffc-8de4-5a662600fc56",
  "metadata": {
    "width": 1000,
    "height": 1000,
    "format": "Jpeg"
  },
  "faces": [
    {
      "age": 31,
      "gender": "Male",
      "faceRectangle": {
        "left": 377,
        "top": 282,
        "width": 381,
        "height": 381
      }
    }
  ],
  "color": {
    "dominantColorForeground": "White",
    "dominantColorBackground": "Black",
    "dominantColors": [
      "Black",
      "White"
    ],
    "accentColor": "B64215",
    "isBWImg": false
  },
  "imageType": {
    "clipArtType": 0,
    "lineDrawingType": 0
  }
}

{
  "categories": [
    {
      "name": "people_",
      "score": 0.94140625,
      "detail": {
        "celebrities": [],
        "landmarks": null
      }
    }
  ],
  "adult": null,
  "tags": [
    {
      "name": "person",
      "confidence": 0.99912232160568237
    },
    {
      "name": "outdoor",
      "confidence": 0.936089813709259
    }
  ],
  "description": {
    "tags": [
      "person",
      "outdoor",
      "man",
      "woman",
      "standing",
      "front",
      "suit",
      "holding",
      "car",
      "wearing",
      "people",
      "couple",
      "posing",
      "young",
      "bus",
      "black",
      "smiling",
      "glasses",
      "umbrella",
      "group",
      "table",
      "city",
      "red",
      "water",
      "street",
      "phone",
      "boat",
      "train"
    ],
    "captions": [
      {
        "text": "a couple of people posing for the camera",
        "confidence": 0.86922603629725859
      }
    ]
  },
  "requestId": "7d57493c-f8b0-468f-8135-17da555d2463",
  "metadata": {
    "width": 1000,
    "height": 1000,
    "format": "Jpeg"
  },
  "faces": [
    {
      "age": 38,
      "gender": "Female",
      "faceRectangle": {
        "left": 400,
        "top": 270,
        "width": 234,
        "height": 234
      }
    }
  ],
  "color": {
    "dominantColorForeground": "Black",
    "dominantColorBackground": "Black",
    "dominantColors": [
      "Black",
      "Grey"
    ],
    "accentColor": "364E5D",
    "isBWImg": false
  },
  "imageType": {
    "clipArtType": 0,
    "lineDrawingType": 0
  }
}