swagger: '2.0'
info:
  version: 2020-08-01-preview
  title: Microsoft Azure AccessControlClient AccessConnector Largefacelists API
schemes:
- https
tags:
- name: Largefacelists
paths:
  /largefacelists/{largeFaceListId}:
    put:
      description: 'Create an empty large face list with user-specified largeFaceListId, name, an optional userData and recognitionModel.<br> Large face list is a list of faces, up to 1,000,000 faces, and used by [Face - Find Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar).<br> After creation, user should use [LargeFaceList Face - Add](https://docs.microsoft.com/rest/api/faceapi/largefacelist/addfacefromurl) to import the faces and [LargeFaceList - Train](https://docs.microsoft.com/rest/api/faceapi/largefacelist/train) to make it ready for [Face - Find Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar). No image will be stored. Only the extracted face features are stored on server until [LargeFaceList - Delete](https://docs.microsoft.com/rest/api/faceapi/largefacelist/delete) is called.<br> Find Similar is used for scenario like finding celebrity-like faces, similar face filtering, or as a light way face identification. But if the actual use is to identify person, please use [PersonGroup](https://docs.microsoft.com/rest/api/faceapi/persongroup) / [LargePersonGroup](https://docs.microsoft.com/rest/api/faceapi/largepersongroup) and [Face - Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify).<br>''recognitionModel'' should be specified to associate with this large face list. The default value for ''recognitionModel'' is ''recognition_01'', if the latest model needed, please explicitly specify the model you need in this parameter. New faces that are added to an existing large face list will use the recognition model that''s already associated with the collection. Existing face features in a large face list can''t be updated to features extracted by another version of recognition model. Please refer to [Specify a recognition model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-recognition-model).<br><br>Large face list quota:<br>* Free-tier subscription quota: 64 large face lists.<br>* S0-tier subscription quota: 1,000,000 large face lists.'
      operationId: microsoftAzureLargefacelistCreate
      parameters:
      - $ref: '#/parameters/largeFaceListId'
      - name: body
        description: Request body for creating a large face list.
        in: body
        required: true
        x-ms-client-flatten: true
        schema:
          $ref: '#/definitions/MetaDataContract'
      consumes:
      - application/json
      produces:
      - application/json
      responses:
        '200':
          description: A successful call returns an empty response body.
        default:
          description: Error response.
          schema:
            $ref: '#/definitions/APIError'
      x-ms-examples:
        Create new large face list example:
          $ref: ./examples/CreateNewLargeFaceList.json
      summary: Microsoft Azure Put Largefacelists Largefacelistid
      tags:
      - Largefacelists
    get:
      description: Retrieve a large face list’s largeFaceListId, name, userData and recognitionModel.
      operationId: microsoftAzureLargefacelistGet
      parameters:
      - $ref: '#/parameters/largeFaceListId'
      - $ref: '#/parameters/returnRecognitionModel'
      produces:
      - application/json
      responses:
        '200':
          description: A successful call returns the large face list's information.
          schema:
            $ref: '#/definitions/LargeFaceList'
        default:
          description: Error response.
          schema:
            $ref: '#/definitions/APIError'
      x-ms-examples:
        Get large face list example:
          $ref: ./examples/GetLargeFaceList.json
      summary: Microsoft Azure Get Largefacelists Largefacelistid
      tags:
      - Largefacelists
    patch:
      description: Update information of a large face list.
      operationId: microsoftAzureLargefacelistUpdate
      parameters:
      - $ref: '#/parameters/largeFaceListId'
      - name: body
        description: Request body for updating a large face list.
        in: body
        required: true
        x-ms-client-flatten: true
        schema:
          $ref: '#/definitions/NameAndUserDataContract'
      consumes:
      - application/json
      produces:
      - application/json
      responses:
        '200':
          description: A successful call returns an empty response body.
        default:
          description: Error response.
          schema:
            $ref: '#/definitions/APIError'
      x-ms-examples:
        Update large face list example:
          $ref: ./examples/UpdateLargeFaceList.json
      summary: Microsoft Azure Patch Largefacelists Largefacelistid
      tags:
      - Largefacelists
    delete:
      description: Delete a specified large face list.
      operationId: microsoftAzureLargefacelistDelete
      parameters:
      - $ref: '#/parameters/largeFaceListId'
      produces:
      - application/json
      responses:
        '200':
          description: A successful call returns an empty response body.
        default:
          description: Error response.
          schema:
            $ref: '#/definitions/APIError'
      x-ms-examples:
        Delete large face list example:
          $ref: ./examples/DeleteLargeFaceList.json
      summary: Microsoft Azure Delete Largefacelists Largefacelistid
      tags:
      - Largefacelists
  /largefacelists/{largeFaceListId}/training:
    get:
      description: Retrieve the training status of a large face list (completed or ongoing).
      operationId: microsoftAzureLargefacelistGettrainingstatus
      parameters:
      - $ref: '#/parameters/largeFaceListId'
      responses:
        '200':
          description: A successful call returns the large face list's training status.
          schema:
            $ref: '#/definitions/TrainingStatus'
        default:
          description: Error response.
          schema:
            $ref: '#/definitions/APIError'
      produces:
      - application/json
      x-ms-examples:
        Get large face list's training status example:
          $ref: ./examples/GetLargeFaceListTrainingStatus.json
      summary: Microsoft Azure Get Largefacelists Largefacelistid Training
      tags:
      - Largefacelists
  /largefacelists:
    get:
      description: 'List large face lists’ information of largeFaceListId, name, userData and recognitionModel.  <br>To get face information inside largeFaceList use [LargeFaceList Face - Get](https://docs.microsoft.com/rest/api/faceapi/largefacelist/getface)<br>* Large face lists are stored in alphabetical order of largeFaceListId.<br>* "start" parameter (string, optional) is a user-provided largeFaceListId value that returned entries have larger ids by string comparison. "start" set to empty to indicate return from the first item.<br>* "top" parameter (int, optional) specifies the number of entries to return. A maximal of 1000 entries can be returned in one call. To fetch more, you can specify "start" with the last returned entry’s Id of the current call.<br><br>For example, total 5 large person lists: "list1", ..., "list5".<br> "start=&top=" will return all 5 lists.<br> "start=&top=2" will return "list1", "list2".<br> "start=list2&top=3" will return "list3", "list4", "list5".<br>'
      operationId: microsoftAzureLargefacelistList
      parameters:
      - $ref: '#/parameters/returnRecognitionModel'
      - name: start
        description: Starting large face list id to return (used to list a range of large face lists).
        in: query
        required: false
        type: string
      - name: top
        description: Number of large face lists to return starting with the large face list id indicated by the 'start' parameter.
        in: query
        required: false
        type: integer
        minimum: 1
        maximum: 1000
      responses:
        '200':
          description: A successful call returns an array of largeFaceList.
          schema:
            $ref: '#/definitions/LargeFaceLists'
        default:
          description: Error response.
          schema:
            $ref: '#/definitions/APIError'
      produces:
      - application/json
      x-ms-examples:
        List large face lists example:
          $ref: ./examples/ListLargeFaceLists.json
      summary: Microsoft Azure Get Largefacelists
      tags:
      - Largefacelists
  /largefacelists/{largeFaceListId}/train:
    post:
      description: Queue a large face list training task, the training task may not be started immediately.
      operationId: microsoftAzureLargefacelistTrain
      parameters:
      - $ref: '#/parameters/largeFaceListId'
      produces:
      - application/json
      responses:
        '202':
          description: The training task was queued successfully.
        default:
          description: Error response.
          schema:
            $ref: '#/definitions/APIError'
      x-ms-examples:
        Queue large face list training:
          $ref: ./examples/QueueLargeFaceListTraining.json
      summary: Microsoft Azure Post Largefacelists Largefacelistid Train
      tags:
      - Largefacelists
  /largefacelists/{largeFaceListId}/persistedfaces/{persistedFaceId}:
    delete:
      description: Delete a face from a large face list by specified largeFaceListId and persistedFaceId.<br> Adding/deleting faces to/from a same large face list are processed sequentially and to/from different large face lists are in parallel.
      operationId: microsoftAzureLargefacelistDeleteface
      parameters:
      - $ref: '#/parameters/largeFaceListId'
      - $ref: '#/parameters/persistedFaceId'
      produces:
      - application/json
      responses:
        '200':
          description: A successful call returns an empty response body.
        default:
          description: Error response.
          schema:
            $ref: '#/definitions/APIError'
      x-ms-examples:
        Delete face in large face list example:
          $ref: ./examples/DeleteLargeFaceListFace.json
      summary: Microsoft Azure Delete Largefacelists Largefacelistid Persistedfaces Persistedfaceid
      tags:
      - Largefacelists
    get:
      description: Retrieve information about a persisted face (specified by persistedFaceId and its belonging largeFaceListId).
      operationId: microsoftAzureLargefacelistGetface
      parameters:
      - $ref: '#/parameters/largeFaceListId'
      - $ref: '#/parameters/persistedFaceId'
      produces:
      - application/json
      responses:
        '200':
          description: A successful call returns target persisted face's information (persistedFaceId and userData).
          schema:
            $ref: '#/definitions/PersistedFace'
        default:
          description: Error response.
          schema:
            $ref: '#/definitions/APIError'
      x-ms-examples:
        Get persisted face example:
          $ref: ./examples/GetLargeFaceListPersistedFace.json
      summary: Microsoft Azure Get Largefacelists Largefacelistid Persistedfaces Persistedfaceid
      tags:
      - Largefacelists
    patch:
      description: Update a persisted face's userData field.
      operationId: microsoftAzureLargefacelistUpdateface
      parameters:
      - $ref: '#/parameters/largeFaceListId'
      - $ref: '#/parameters/persistedFaceId'
      - name: body
        description: Request body for updating persisted face.
        in: body
        required: true
        x-ms-client-flatten: true
        schema:
          $ref: '#/definitions/UpdateFaceRequest'
      consumes:
      - application/json
      produces:
      - application/json
      responses:
        '200':
          description: A successful call returns an empty response body.
        default:
          description: Error response.
          schema:
            $ref: '#/definitions/APIError'
      x-ms-examples:
        Update face example:
          $ref: ./examples/UpdateLargeFaceListFace.json
      summary: Microsoft Azure Patch Largefacelists Largefacelistid Persistedfaces Persistedfaceid
      tags:
      - Largefacelists
  /largefacelists/{largeFaceListId}/persistedfaces:
    post:
      description: 'Add a face to a specified large face list, up to 1,000,000 faces.<br> To deal with an image contains multiple faces, input face can be specified as an image with a targetFace rectangle. It returns a persistedFaceId representing the added face. No image will be stored. Only the extracted face feature will be stored on server until [LargeFaceList Face - Delete](https://docs.microsoft.com/rest/api/faceapi/largefacelist/deleteface) or [LargeFaceList - Delete](https://docs.microsoft.com/rest/api/faceapi/largefacelist/delete) is called.<br> Note persistedFaceId is different from faceId generated by [Face - Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).<br>* Higher face image quality means better recognition precision. Please consider high-quality faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.<br>* JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is from 1KB to 6MB.<br>* "targetFace" rectangle should contain one face. Zero or multiple faces will be regarded as an error. If the provided "targetFace" rectangle is not returned from [Face - Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to detect and add the face successfully.<br>* Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions will cause failures.<br>* Adding/deleting faces to/from a same face list are processed sequentially and to/from different face lists are in parallel.<br>* The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels. Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum face size.<br>* Different ''detectionModel'' values can be provided. To use and compare different detection models, please refer to [How to specify a detection model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)<br><br>Quota:<br>* Free-tier subscription quota: 1,000 faces per large face list.<br>* S0-tier subscription quota: 1,000,000 faces per large face list.'
      operationId: microsoftAzureLargefacelistAddfacefromurl
      parameters:
      - $ref: '#/parameters/largeFaceListId'
      - $ref: '#/parameters/faceUserData'
      - $ref: '#/parameters/targetFace'
      - $ref: ../../../Common/Parameters.json#/parameters/ImageUrl
      - $ref: '#/parameters/detectionModel'
      produces:
      - application/json
      consumes:
      - application/json
      responses:
        '200':
          description: A successful call returns a new persistedFaceId.
          schema:
            $ref: '#/definitions/PersistedFace'
        default:
          description: Error response.
          schema:
            $ref: '#/definitions/APIError'
      x-ms-examples:
        Create large face list face example:
          $ref: ./examples/AddLargeFaceListFaceFromUrl.json
      summary: Microsoft Azure Post Largefacelists Largefacelistid Persistedfaces
      tags:
      - Largefacelists
    get:
      description: List all faces in a large face list, and retrieve face information (including userData and persistedFaceIds of registered faces of the face).
      operationId: microsoftAzureLargefacelistListfaces
      parameters:
      - $ref: '#/parameters/largeFaceListId'
      - name: start
        description: Starting face id to return (used to list a range of faces).
        in: query
        required: false
        type: string
      - name: top
        description: Number of faces to return starting with the face id indicated by the 'start' parameter.
        in: query
        required: false
        type: integer
        minimum: 1
        maximum: 1000
      produces:
      - application/json
      responses:
        '200':
          description: A successful call returns an array of face information that belong to the large face list.
          schema:
            $ref: '#/definitions/PersistedFaces'
        default:
          description: Error response.
          schema:
            $ref: '#/definitions/APIError'
      x-ms-examples:
        List faces in large face list:
          $ref: ./examples/ListLargeFaceListFaces.json
      summary: Microsoft Azure Get Largefacelists Largefacelistid Persistedfaces
      tags:
      - Largefacelists
definitions:
  RecognitionModel:
    type: string
    description: Name of recognition model. Recognition model is used when the face features are extracted and associated with detected faceIds, (Large)FaceList or (Large)PersonGroup. A recognition model name can be provided when performing Face - Detect or (Large)FaceList - Create or (Large)PersonGroup - Create. The default value is 'recognition_01', if latest model needed, please explicitly specify the model you need.
    default: recognition_01
    x-nullable: false
    x-ms-enum:
      name: RecognitionModel
      modelAsString: true
    enum:
    - recognition_01
    - recognition_02
    - recognition_03
    - recognition_04
  NameAndUserDataContract:
    type: object
    description: A combination of user defined name and user specified data for the person, largePersonGroup/personGroup, and largeFaceList/faceList.
    properties:
      name:
        type: string
        description: User defined name, maximum length is 128.
        maxLength: 128
      userData:
        type: string
        description: User specified data. Length should not exceed 16KB.
        maxLength: 16384
  MetaDataContract:
    type: object
    description: A combination of user defined name and user specified data and recognition model name for largePersonGroup/personGroup, and largeFaceList/faceList.
    properties:
      recognitionModel:
        $ref: '#/definitions/RecognitionModel'
    allOf:
    - $ref: '#/definitions/NameAndUserDataContractForCreation'
  PersistedFace:
    type: object
    required:
    - persistedFaceId
    description: PersonFace object.
    properties:
      persistedFaceId:
        type: string
        format: uuid
        description: The persistedFaceId of the target face, which is persisted and will not expire. Different from faceId created by Face - Detect and will expire in at the time specified by faceIdTimeToLive after the detection call.
      userData:
        type: string
        description: User-provided data attached to the face. The size limit is 1KB.
        maxLength: 1024
  UpdateFaceRequest:
    type: object
    description: Request to update face data.
    properties:
      userData:
        type: string
        description: User-provided data attached to the face. The size limit is 1KB.
        maxLength: 1024
  TrainingStatus:
    type: object
    required:
    - status
    - createdDateTime
    description: Training status object.
    properties:
      status:
        type: string
        description: 'Training status: notstarted, running, succeeded, failed. If the training process is waiting to perform, the status is notstarted. If the training is ongoing, the status is running. Status succeed means this person group or large person group is ready for Face - Identify, or this large face list is ready for Face - Find Similar. Status failed is often caused by no person or no persisted face exist in the person group or large person group, or no persisted face exist in the large face list.'
        x-ms-enum:
          name: TrainingStatusType
          modelAsString: false
        enum:
        - nonstarted
        - running
        - succeeded
        - failed
      createdDateTime:
        type: string
        format: date-time
        description: A combined UTC date and time string that describes the created time of the person group, large person group or large face list.
        x-ms-client-name: created
      lastActionDateTime:
        type: string
        format: date-time
        description: A combined UTC date and time string that describes the last modify time of the person group, large person group or large face list, could be null value when the group is not successfully trained.
        x-ms-client-name: lastAction
      lastSuccessfulTrainingDateTime:
        type: string
        format: date-time
        description: A combined UTC date and time string that describes the last successful training time of the person group, large person group or large face list.
        x-ms-client-name: lastSuccessfulTraining
      message:
        type: string
        description: Show failure message when training failed (omitted when training succeed).
  LargeFaceList:
    description: Large face list object.
    type: object
    required:
    - largeFaceListId
    - name
    properties:
      largeFaceListId:
        type: string
        description: LargeFaceListId of the target large face list.
        maxLength: 64
        pattern: ^[a-z0-9-_]+$
      name:
        type: string
        description: User defined name, maximum length is 128.
        maxLength: 128
        minLength: 1
      userData:
        type: string
        description: User specified data. Length should not exceed 16KB.
        maxLength: 16384
      recognitionModel:
        $ref: '#/definitions/RecognitionModel'
  APIError:
    type: object
    description: Error information returned by the API
    properties:
      error:
        $ref: '#/definitions/Error'
  PersistedFaces:
    type: array
    description: An array of persisted faces within the face list or large face list.
    items:
      $ref: '#/definitions/PersistedFace'
  LargeFaceLists:
    type: array
    description: An array of large face list results, with fields of largeFaceListId, name and userData
    items:
      $ref: '#/definitions/LargeFaceList'
  Error:
    type: object
    description: Error body.
    properties:
      code:
        type: string
      message:
        type: string
  NameAndUserDataContractForCreation:
    type: object
    description: A combination of user defined name and user specified data for the person, largePersonGroup/personGroup, and largeFaceList/faceList.
    required:
    - name
    properties:
      name:
        type: string
        description: User defined name, maximum length is 128.
        maxLength: 128
        minLength: 1
      userData:
        type: string
        description: User specified data. Length should not exceed 16KB.
        maxLength: 16384
parameters:
  persistedFaceId:
    name: persistedFaceId
    in: path
    description: Id referencing a particular persistedFaceId of an existing face.
    required: true
    type: string
    format: uuid
    x-ms-parameter-location: method
    collectionFormat: csv
  detectionModel:
    name: detectionModel
    description: Name of detection model. Detection model is used to detect faces in the submitted image. A detection model name can be provided when performing Face - Detect or (Large)FaceList - Add Face or (Large)PersonGroup - Add Face. The default value is 'detection_01', if another model is needed, please explicitly specify it.
    default: detection_01
    required: false
    type: string
    in: query
    x-ms-parameter-location: method
    x-nullable: false
    x-ms-enum:
      name: DetectionModel
      modelAsString: true
    enum:
    - detection_01
    - detection_02
    - detection_03
  faceUserData:
    name: userData
    in: query
    description: User-specified data about the face for any purpose. The maximum length is 1KB.
    type: string
    maxLength: 1024
    x-ms-parameter-location: method
    required: false
    collectionFormat: csv
  targetFace:
    name: targetFace
    in: query
    description: A face rectangle to specify the target face to be added to a person in the format of "targetFace=left,top,width,height". E.g. "targetFace=10,10,100,100". If there is more than one face in the image, targetFace is required to specify which face to add. No targetFace means there is only one face detected in the entire image.
    type: array
    x-ms-parameter-location: method
    required: false
    collectionFormat: csv
    items:
      type: integer
      format: int32
      x-nullable: false
      maxItems: 4
      minItems: 4
  largeFaceListId:
    name: largeFaceListId
    in: path
    description: Id referencing a particular large face list.
    required: true
    type: string
    x-ms-parameter-location: method
    collectionFormat: csv
    maxLength: 64
    pattern: ^[a-z0-9-_]+$
  returnRecognitionModel:
    name: returnRecognitionModel
    description: A value indicating whether the operation should return 'recognitionModel' in response.
    default: false
    required: false
    type: boolean
    in: query
    x-ms-parameter-location: method
x-ms-parameterized-host:
  hostTemplate: '{endpoint}'
  useSchemePrefix: false
  parameters:
  - $ref: '#/parameters/Endpoint'