---
title: "GET /facelists"
method: GET
path: "/facelists"
---

# GET /facelists

`GET /facelists`

List face lists’ faceListId, name, userData and recognitionModel. <br /> 
To get face information inside faceList use [FaceList - Get](https://docs.microsoft.com/rest/api/faceapi/facelist/get)

## Query parameters

- `returnRecognitionModel` boolean

## Response `200`

A successful call returns an array of faceList.

- FaceList[] — An array of face list results, with fields of faceListId, name and userData
  - `faceListId` string, required — FaceListId of the target face list.
  - `name` string, required — User defined name, maximum length is 128.
  - `userData` string — User specified data. Length should not exceed 16KB.
  - `recognitionModel` 'recognition_01' | 'recognition_02' | 'recognition_03' | 'recognition_04' — 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.
  - `persistedFaces` PersistedFace[] — An array of persisted faces within the face list or large face list.
    - `persistedFaceId` string, uuid, required — 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` string — User-provided data attached to the face. The size limit is 1KB.

## Other responses

- `default` — Error response.

---

[API](https://skmtc.net/azure/apis/face-client.md) · [All operations](https://skmtc.net/azure/apis/face-client/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/azure/face-client/versions/106051bfd7b7/schema)