---
title: "GET /facelists/{faceListId}"
method: GET
path: "/facelists/{faceListId}"
---

# GET /facelists/{faceListId}

`GET /facelists/{faceListId}`

Retrieve a face list’s faceListId, name, userData, recognitionModel and faces in the face list.

## Path parameters

- `faceListId` string, required

## Query parameters

- `returnRecognitionModel` boolean

## Response `200`

A successful call returns the face list's information.

- FaceList — Face list object.
  - `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/cognitiveservices-face.md) · [All operations](https://skmtc.net/azure/apis/cognitiveservices-face/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/azure/cognitiveservices-face/versions/8a19b734b92a/schema)