首頁
產品
認知服務
臉部

臉部

偵測及比較人臉
根據相似度將影像分組
識別影像中先前所標記的人員
在內部部署本機上或雲端中執行

試用臉部

使用容器在邊緣、內部部署及雲端辨識人臉。深入了解

臉部驗證

檢查兩張臉部是屬於同一個人的可能性。API 會傳回信心分數，顯示兩張臉部是屬於同一個人的可能性。

觀看影片

想要建置這個嗎？

文件

臉部偵測

偵測影像中的一或多張人臉，並取得影像臉部位置所在的臉部矩形及臉部屬性，該屬性內含以機器學習為基礎的臉部特徵預測。可用的臉部屬性功能包括：年齡、表情、性別、姿勢、微笑及鬍子，以及影像中每張臉部的 27 個地標。

觀看影片

性別	female
年齡	24
眼鏡	ReadingGlasses
表情	快樂

偵測結果：
JSON：
 [
  {
    "faceId": "4d0844c0-fa2b-43c8-82e4-791e41b4fca0",
    "faceRectangle": {
      "top": 128,
      "left": 459,
      "width": 224,
      "height": 224
    },
    "faceAttributes": {
      "hair": {
        "bald": 0.1,
        "invisible": false,
        "hairColor": [
          {
            "color": "brown",
            "confidence": 0.99
          },
          {
            "color": "black",
            "confidence": 0.57
          },
          {
            "color": "red",
            "confidence": 0.36
          },
          {
            "color": "blond",
            "confidence": 0.34
          },
          {
            "color": "gray",
            "confidence": 0.15
          },
          {
            "color": "other",
            "confidence": 0.13
          }
        ]
      },
      "smile": 1.0,
      "headPose": {
        "pitch": -13.2,
        "roll": -11.9,
        "yaw": 5.0
      },
      "gender": "female",
      "age": 24.0,
      "facialHair": {
        "moustache": 0.0,
        "beard": 0.0,
        "sideburns": 0.0
      },
      "glasses": "ReadingGlasses",
      "makeup": {
        "eyeMakeup": true,
        "lipMakeup": true
      },
      "emotion": {
        "anger": 0.0,
        "contempt": 0.0,
        "disgust": 0.0,
        "fear": 0.0,
        "happiness": 1.0,
        "neutral": 0.0,
        "sadness": 0.0,
        "surprise": 0.0
      },
      "occlusion": {
        "foreheadOccluded": false,
        "eyeOccluded": false,
        "mouthOccluded": false
      },
      "accessories": [
        {
          "type": "glasses",
          "confidence": 1.0
        }
      ],
      "blur": {
        "blurLevel": "low",
        "value": 0.0
      },
      "exposure": {
        "exposureLevel": "goodExposure",
        "value": 0.48
      },
      "noise": {
        "noiseLevel": "low",
        "value": 0.0
      }
    },
    "faceLandmarks": {
      "pupilLeft": {
        "x": 504.8,
        "y": 206.8
      },
      "pupilRight": {
        "x": 602.5,
        "y": 178.4
      },
      "noseTip": {
        "x": 593.5,
        "y": 247.3
      },
      "mouthLeft": {
        "x": 529.8,
        "y": 300.5
      },
      "mouthRight": {
        "x": 626.0,
        "y": 277.3
      },
      "eyebrowLeftOuter": {
        "x": 461.0,
        "y": 186.8
      },
      "eyebrowLeftInner": {
        "x": 541.9,
        "y": 178.9
      },
      "eyeLeftOuter": {
        "x": 490.9,
        "y": 209.0
      },
      "eyeLeftTop": {
        "x": 509.1,
        "y": 199.5
      },
      "eyeLeftBottom": {
        "x": 509.3,
        "y": 213.9
      },
      "eyeLeftInner": {
        "x": 529.0,
        "y": 205.0
      },
      "eyebrowRightInner": {
        "x": 579.2,
        "y": 169.2
      },
      "eyebrowRightOuter": {
        "x": 633.0,
        "y": 136.4
      },
      "eyeRightInner": {
        "x": 590.5,
        "y": 184.5
      },
      "eyeRightTop": {
        "x": 604.2,
        "y": 171.5
      },
      "eyeRightBottom": {
        "x": 608.4,
        "y": 184.0
      },
      "eyeRightOuter": {
        "x": 623.8,
        "y": 173.7
      },
      "noseRootLeft": {
        "x": 549.8,
        "y": 200.3
      },
      "noseRootRight": {
        "x": 580.7,
        "y": 192.3
      },
      "noseLeftAlarTop": {
        "x": 557.2,
        "y": 234.6
      },
      "noseRightAlarTop": {
        "x": 603.2,
        "y": 225.1
      },
      "noseLeftAlarOutTip": {
        "x": 545.4,
        "y": 255.5
      },
      "noseRightAlarOutTip": {
        "x": 615.9,
        "y": 239.5
      },
      "upperLipTop": {
        "x": 591.1,
        "y": 278.4
      },
      "upperLipBottom": {
        "x": 593.2,
        "y": 288.7
      },
      "underLipTop": {
        "x": 597.1,
        "y": 308.0
      },
      "underLipBottom": {
        "x": 600.3,
        "y": 324.8
      }
    }
  }
]

想要建置這個嗎？

文件

表情辨識

臉部 API 現在與表情辨識整合，並傳回影像中每個臉部之一組表情的信心分數，例如生氣、藐視、厭惡、恐懼、快樂、不表意見、憂傷及驚奇。這些表情已知可跨文化普遍地與特定臉部表情溝通。

觀看影片

憤怒	0.00000
蔑視	0.00000
討厭	0.00000
恐懼	0.00000
快樂	0.19600
中立	0.00000
憂傷	0.00000
驚奇	0.80300

偵測結果：
偵測到 1 個臉部

 JSON：
 [
  {
    "faceRectangle": {
      "top": 141,
      "left": 130,
      "width": 162,
      "height": 162
    },
    "faceAttributes": {
      "emotion": {
        "anger": 0.0,
        "contempt": 0.0,
        "disgust": 0.0,
        "fear": 0.0,
        "happiness": 0.196,
        "neutral": 0.0,
        "sadness": 0.0,
        "surprise": 0.803
      }
    }
  }
]

想要建置這個嗎？

文件

臉部識別

臉部 API 讓您可搜尋、識別和比對您私人存放庫中多達 1 百萬人的臉部。

相似臉部搜尋

輕易尋找看起來類似的臉部。這項 API 收到一組臉部集合及一張新臉部作為查詢時，會傳回一組相似臉部的集合。

臉部分組

根據視覺相似度，將多張無法辨認的臉部整理成群組。

"By enhancing our service with the Face API, we have a competitive advantage in markets that demand a high degree of facial detection accuracy."

Daniel Amitai: Vice President of Business Development | Cloudinary

"Because the Cognitive Services APIs harness the power of machine learning, we were able to bring advanced intelligence into our product without the need to have a team of data scientists on hand."

Aaron Edell: Chief Product Owner | GrayMeta

"We found Cognitive Services to be the missing piece in the equation, the one that we needed to bring this solution to market and really revolutionize the way people look at video."

Katie McCann: Vice President of Product and Engineering | Prism Skylabs

"Thousands of partners sign in to our platform every hour. The response time from the Face API is incredible, enabling us to verify our drivers without slowing them down."

Dima Kovalev: Product Manager | Uber

"It didn't take us long to realize Microsoft Cognitive Services had handed us a powerful set of computer-vision and artificial-intelligence tools that we could use to create great apps and new features for our customers in just a few hours."

John Fan: Cofounder and CEO | Cardinal Blue Software

"Using the Cognitive Services APIs, it took us three months to develop a test pair of glasses that can translate text and images into speech, identify emotions, and describe scenery. If we had been working full time, we could have done it in two weeks."

Benoit Chirouter: R&D Director | Pivothead