Face Analyzer
curl --request POST \
--url https://www.ailabapi.com/api/portrait/analysis/face-analyzer \
--header 'Content-Type: multipart/form-data' \
--header 'ailabapi-api-key: <api-key>' \
--form image='@example-file' \
--form 'max_face_num=<string>' \
--form 'face_attributes_type=<string>' \
--form 'need_rotate_detection=<string>'import requests
url = "https://www.ailabapi.com/api/portrait/analysis/face-analyzer"
files = { "image": ("example-file", open("example-file", "rb")) }
payload = {
"max_face_num": "<string>",
"face_attributes_type": "<string>",
"need_rotate_detection": "<string>"
}
headers = {"ailabapi-api-key": "<api-key>"}
response = requests.post(url, data=payload, files=files, headers=headers)
print(response.text)const form = new FormData();
form.append('image', '<string>');
form.append('max_face_num', '<string>');
form.append('face_attributes_type', '<string>');
form.append('need_rotate_detection', '<string>');
const options = {method: 'POST', headers: {'ailabapi-api-key': '<api-key>'}};
options.body = form;
fetch('https://www.ailabapi.com/api/portrait/analysis/face-analyzer', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://www.ailabapi.com/api/portrait/analysis/face-analyzer",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_face_num\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"face_attributes_type\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"need_rotate_detection\"\r\n\r\n<string>\r\n-----011000010111000001101001--",
CURLOPT_HTTPHEADER => [
"Content-Type: multipart/form-data",
"ailabapi-api-key: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://www.ailabapi.com/api/portrait/analysis/face-analyzer"
payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_face_num\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"face_attributes_type\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"need_rotate_detection\"\r\n\r\n<string>\r\n-----011000010111000001101001--")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("ailabapi-api-key", "<api-key>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://www.ailabapi.com/api/portrait/analysis/face-analyzer")
.header("ailabapi-api-key", "<api-key>")
.body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_face_num\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"face_attributes_type\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"need_rotate_detection\"\r\n\r\n<string>\r\n-----011000010111000001101001--")
.asString();require 'uri'
require 'net/http'
url = URI("https://www.ailabapi.com/api/portrait/analysis/face-analyzer")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["ailabapi-api-key"] = '<api-key>'
request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_face_num\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"face_attributes_type\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"need_rotate_detection\"\r\n\r\n<string>\r\n-----011000010111000001101001--"
response = http.request(request)
puts response.read_body{
"request_id": "",
"log_id": "",
"error_detail": {
"code": "",
"code_message": "",
"message": ""
},
"image_width": 0,
"image_height": 0,
"face_detail_infos": [
{
"face_rect": {
"x": 0,
"y": 0,
"width": 0,
"height": 0
},
"face_detail_attributes_info": {
"age": 0,
"beauty": 0,
"emotion": {
"type": 0,
"probability": 0
},
"eye": {
"glass": {
"type": 0,
"probability": 0.99936753511429
},
"eye_open": {
"type": 0,
"probability": 0.99949336051941
},
"eyelid_type": {
"type": 1,
"probability": 0.75467920303345
},
"eye_size": {
"type": 2,
"probability": 0.59152442216873
}
},
"eyebrow": {
"eyebrow_density": {
"type": 0,
"probability": 0
},
"eyebrow_curve": {
"type": 0,
"probability": 0
},
"eyebrow_length": {
"type": 0,
"probability": 0
}
},
"gender": {
"type": 0,
"probability": 0
},
"hair": {
"length": {
"type": 0,
"probability": 0
},
"bang": {
"type": 0,
"probability": 0
},
"color": {
"type": 0,
"probability": 0
}
},
"hat": {
"style": {
"type": 0,
"probability": 0
},
"color": {
"type": 0,
"probability": 0
}
},
"head_pose": {
"pitch": 0,
"yaw": 0,
"roll": 0
},
"mask": {
"type": 0,
"probability": 0
},
"mouth": {
"mouth_open": {
"type": 0,
"probability": 0
}
},
"moustache": {
"type": 0,
"probability": 0
},
"nose": {
"type": 2,
"probability": 0.75233882665634
},
"shape": {
"type": 0,
"probability": 0
},
"skin": {
"type": 0,
"probability": 0
},
"smile": 0
}
}
]
}Face Analyzer
Face Analyzer API
Face Analyzer API detects facial position, attributes, attractiveness, pose, and quality metrics from portrait images.
POST
/
api
/
portrait
/
analysis
/
face-analyzer
Face Analyzer
curl --request POST \
--url https://www.ailabapi.com/api/portrait/analysis/face-analyzer \
--header 'Content-Type: multipart/form-data' \
--header 'ailabapi-api-key: <api-key>' \
--form image='@example-file' \
--form 'max_face_num=<string>' \
--form 'face_attributes_type=<string>' \
--form 'need_rotate_detection=<string>'import requests
url = "https://www.ailabapi.com/api/portrait/analysis/face-analyzer"
files = { "image": ("example-file", open("example-file", "rb")) }
payload = {
"max_face_num": "<string>",
"face_attributes_type": "<string>",
"need_rotate_detection": "<string>"
}
headers = {"ailabapi-api-key": "<api-key>"}
response = requests.post(url, data=payload, files=files, headers=headers)
print(response.text)const form = new FormData();
form.append('image', '<string>');
form.append('max_face_num', '<string>');
form.append('face_attributes_type', '<string>');
form.append('need_rotate_detection', '<string>');
const options = {method: 'POST', headers: {'ailabapi-api-key': '<api-key>'}};
options.body = form;
fetch('https://www.ailabapi.com/api/portrait/analysis/face-analyzer', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://www.ailabapi.com/api/portrait/analysis/face-analyzer",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_face_num\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"face_attributes_type\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"need_rotate_detection\"\r\n\r\n<string>\r\n-----011000010111000001101001--",
CURLOPT_HTTPHEADER => [
"Content-Type: multipart/form-data",
"ailabapi-api-key: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://www.ailabapi.com/api/portrait/analysis/face-analyzer"
payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_face_num\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"face_attributes_type\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"need_rotate_detection\"\r\n\r\n<string>\r\n-----011000010111000001101001--")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("ailabapi-api-key", "<api-key>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://www.ailabapi.com/api/portrait/analysis/face-analyzer")
.header("ailabapi-api-key", "<api-key>")
.body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_face_num\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"face_attributes_type\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"need_rotate_detection\"\r\n\r\n<string>\r\n-----011000010111000001101001--")
.asString();require 'uri'
require 'net/http'
url = URI("https://www.ailabapi.com/api/portrait/analysis/face-analyzer")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["ailabapi-api-key"] = '<api-key>'
request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_face_num\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"face_attributes_type\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"need_rotate_detection\"\r\n\r\n<string>\r\n-----011000010111000001101001--"
response = http.request(request)
puts response.read_body{
"request_id": "",
"log_id": "",
"error_detail": {
"code": "",
"code_message": "",
"message": ""
},
"image_width": 0,
"image_height": 0,
"face_detail_infos": [
{
"face_rect": {
"x": 0,
"y": 0,
"width": 0,
"height": 0
},
"face_detail_attributes_info": {
"age": 0,
"beauty": 0,
"emotion": {
"type": 0,
"probability": 0
},
"eye": {
"glass": {
"type": 0,
"probability": 0.99936753511429
},
"eye_open": {
"type": 0,
"probability": 0.99949336051941
},
"eyelid_type": {
"type": 1,
"probability": 0.75467920303345
},
"eye_size": {
"type": 2,
"probability": 0.59152442216873
}
},
"eyebrow": {
"eyebrow_density": {
"type": 0,
"probability": 0
},
"eyebrow_curve": {
"type": 0,
"probability": 0
},
"eyebrow_length": {
"type": 0,
"probability": 0
}
},
"gender": {
"type": 0,
"probability": 0
},
"hair": {
"length": {
"type": 0,
"probability": 0
},
"bang": {
"type": 0,
"probability": 0
},
"color": {
"type": 0,
"probability": 0
}
},
"hat": {
"style": {
"type": 0,
"probability": 0
},
"color": {
"type": 0,
"probability": 0
}
},
"head_pose": {
"pitch": 0,
"yaw": 0,
"roll": 0
},
"mask": {
"type": 0,
"probability": 0
},
"mouth": {
"mouth_open": {
"type": 0,
"probability": 0
}
},
"moustache": {
"type": 0,
"probability": 0
},
"nose": {
"type": 2,
"probability": 0.75233882665634
},
"shape": {
"type": 0,
"probability": 0
},
"skin": {
"type": 0,
"probability": 0
},
"smile": 0
}
}
]
}Request
- URL:
https://www.ailabapi.com/api/portrait/analysis/face-analyzer - Method:
POST - Content-Type:
multipart/form-data
Image requirements
- Image format:
JPGJPEGPNGBMP - Image size: No more than 5 MB.
- Image resolution: Less than 2000x2000px.
Headers
| Field | Required | Type | Description |
|---|---|---|---|
ailabapi-api-key | YES | string | Application API KEY. Get API KEY |
Body
| Field | Required | Type | Scope | Default | Example | Description | |
|---|---|---|---|---|---|---|---|
image | YES | file | |||||
max_face_num | NO | integer | [1, 120] | 1 | The maximum number of faces processed. When set to 1, only the largest face in the image is detected. A smaller value leads to faster processing speed. | ||
face_attributes_type | NO | string | None, Age, Beauty, Emotion, Eye, Eyebrow, Gender, Hair, Hat, Headpose, Mask, Mouth, Moustache, Nose, Shape, Skin, Smile | None | Age,Beauty | Whether to return attributes such as age, gender, mood, etc. AttributesInfo is returned for up to 5 faces with the largest area, and AttributesInfo for more than 5 faces (the 6th and later faces) are not referenced. | |
need_rotate_detection | NO | integer | 0, 1 | 0 | 0`: Close.`, 1: Open. |
Response
Response Field Handling Flow-
Handle
Public Response FieldsParse and validate thePublic Response Fields, checking the status code or response message to ensure the request is successful and error-free. -
Handle
Business Response FieldsIf thePublic Response Fieldsare valid and error-free, proceed with processing the business logic in theBusiness Response Fields.
Public Response Fields
Viewing Public Response Fields and Error CodesBusiness Response Fields
| Field | Type | Scope | Description |
|---|---|---|---|
image_width | integer | Image width. | |
image_height | integer | Image height. | |
face_detail_infos | array | List of face information. | |
+face_rect | object | Face frame position. | |
++x | integer | The horizontal coordinate of the upper left corner of the face frame.The face frame contains the positions of the five senses of the face and expands on them, if the face frame is out of the range of the picture, it will lead to negative coordinates.If you need to intercept the complete face, you can take the negative coordinate to 0 if the complete subcompletess meets the demand. | |
++y | integer | The vertical coordinate of the upper left corner of the face frame. The face frame contains the positions of the five senses of the face and expands them to a certain extent. If the face frame exceeds the range of the picture, it will lead to negative coordinates. If you need to intercept the complete face, you can take the negative coordinate to 0 if the complete subcompletess meets the demand. | |
++width | integer | Face width. | |
++height | integer | Face height. | |
+face_detail_attributes_info | object | Face attribute information. | |
++age | integer | [0, 65] | Age. 65: 65 years old and above. When face_attributes_type does not contain Age or when more than 5 faces are detected, this parameter is still returned but is not informative. |
++beauty | integer | [0, 100] | Beauty Score. When face_attributes_type does not contain Beauty or when more than 5 faces are detected, this parameter is still returned but is not informative. |
++emotion | object | Emotional information. When face_attributes_type does not contain Emotion or when more than 5 faces are detected, this parameter is still returned but is not informative. | |
+++type | integer | 0, 1, 2, 3, 4, 5, 6 | 0`: Neutral.` 1: Happy. 2`: Surprised.` 3: Angry. 4`: Sad.` 5: Disgusted. “6: Fearful. |
+++probability | float | [0, 1] | Probability of being correct. |
++eye | object | Eye-related information. face_attributes_type does not contain Eye or when more than 5 faces are detected, this parameter is still returned but is not informative. | |
+++glass | object | Wearing glasses. | |
++++type | integer | 0, 1, 2 | 0`: No glasses.` 1: Regular glasses. “2: Sunglasses. |
++++probability | float | [0, 1] | Probability of being correct. |
+++eye_open | object | Closed eyes. | |
++++type | integer | 0, 1 | 0`: No.` 1: Yes. |
++++probability | float | [0, 1] | Probability of being correct. |
+++eyelid_type | object | Double eyelids. | |
++++type | integer | 0, 1 | 0`: No.` 1: Yes. |
++++probability | float | [0, 1] | Probability of being correct. |
+++eye_size | object | Eye size. | |
++++type | integer | 0, 1, 2 | 0`: Small eyes.` 1: Regular eyes. “2: Large eyes. |
++++probability | float | [0, 1] | Probability of being correct. |
++eyebrow | object | Eyebrow information. face_attributes_type does not contain Eyebrow or when more than 5 faces are detected, this parameter is still returned but is not informative. | |
+++eyebrow_density | object | Thick eyebrows. | |
++++type | integer | 0, 1 | 0`: Sparse eyebrows.` 1: Thick eyebrows. |
++++probability | float | [0, 1] | Probability of being correct. |
+++eyebrow_curve | object | Curved eyebrows. | |
++++type | integer | 0, 1 | 0`: Not curved.` 1: Curved eyebrows. |
++++probability | float | [0, 1] | Probability of being correct. |
+++eyebrow_length | object | Eyebrow length. | |
++++type | integer | 0, 1 | 0`: Short eyebrows.` 1: Long eyebrows. |
++++probability | float | [0, 1] | Probability of being correct. |
++gender | object | Gender information. face_attributes_type does not contain Gender or when more than 5 faces are detected, this parameter is still returned but is not informative. | |
+++type | integer | 0, 1 | 0`: Male.` 1: Female. |
+++probability | float | [0, 1] | Probability of being correct. |
++hair | object | Hair information. face_attributes_type does not contain Hair or when more than 5 faces are detected, this parameter is still returned but is not informative. | |
+++length | object | Hair length information. | |
++++type | integer | 0, 1, 2, 3, 4 | 0`: Bald.` 1: Short hair. 2`: Medium-length hair.` 3: Long hair. “4: Tied hair. |
++++probability | float | [0, 1] | Probability of being correct. |
+++bang | object | Fringe (bangs) information. | |
++++type | integer | 0, 1 | 0`: No fringe (bangs).` 1: Has fringe (bangs). |
++++probability | float | [0, 1] | Probability of being correct. |
+++color | object | Hair color information. | |
++++type | integer | 0, 1, 2, 3 | 0`: Black.` 1: Blonde. 2`: Brown.` 3: Gray/White. |
++++probability | float | [0, 1] | Probability of being correct. |
++hat | object | Hat information. face_attributes_type does not contain Hat or when more than 5 faces are detected, this parameter is still returned but is not informative. | |
+++style | object | Hat wearing status information. | |
++++type | integer | 0, 1, 2, 3 | 0`: No hat.` 1: Regular hat. 2`: Helmet.` 3: Security hat. |
++++probability | float | [0, 1] | Probability of being correct. |
+++color | object | Hat color. | |
++++type | integer | 0, 1, 2, 3, 4, 5, 6 | 0`: No hat.` 1: Red shades. 2`: Yellow shades.` 3: Blue shades. 4`: Black shades.` 5: Gray/White shades. “6: Mixed colors. |
++++probability | float | [0, 1] | Probability of being correct. |
++head_pose | object | Face offset information. face_attributes_type does not contain HeadPose or when more than 5 faces are detected, this parameter is still returned but is not informative. | |
+++pitch | integer | [-30, 30] | Vertical Offset. |
+++yaw | integer | [-30, 30] | Horizontal Offset. |
+++pitch | integer | [-180, 180] | Planar Rotation. |
++mask | object | Mask wearing information. face_attributes_type does not contain Mask or when more than 5 faces are detected, this parameter is still returned but is not informative. | |
+++type | integer | 0, 1, 2, 3, 4 | 0`: No mask.` 1: Mask without covering face. 2`: Mask covering chin.` 3: Mask covering mouth. “4: Correctly worn mask. |
+++probability | float | [0, 1] | Probability of being correct. |
++mouth | object | Mouth information. face_attributes_type does not contain Mouth or when more than 5 faces are detected, this parameter is still returned but is not informative. | |
+++mouth_open | object | Mouth open. | |
++++type | integer | 0, 1 | 0`: No.` 1: Yes. |
++++probability | float | [0, 1] | Probability of being correct. |
++moustache | object | Facial hair information. face_attributes_type does not contain Moustache or when more than 5 faces are detected, this parameter is still returned but is not informative. | |
+++type | integer | 0, 1 | 0`: No facial hair.` 1: Facial hair. |
+++probability | float | [0, 1] | Probability of being correct. |
++nose | object | Nose information. face_attributes_type does not contain Nose or when more than 5 faces are detected, this parameter is still returned but is not informative. | |
+++type | integer | 0, 1, 2, 3 | 0`: Upturned nose.` 1: Hooked nose. 2`: Normal.` 3: Round-tipped nose. |
+++probability | float | [0, 1] | Probability of being correct. |
++shape | object | Face shape information. face_attributes_type does not contain Shape or when more than 5 faces are detected, this parameter is still returned but is not informative. | |
+++type | integer | 0, 1, 2, 3, 4 | 0`: Square face.` 1: Triangular face. 2`: Oval face.` 3: Heart-shaped face. “4: Round face. |
+++probability | float | [0, 1] | Probability of being correct. |
++skin | object | Skin color information. face_attributes_type does not contain Skin or when more than 5 faces are detected, this parameter is still returned but is not informative. | |
+++type | integer | 0, 1, 2, 3 | 0`: Yellow skin.` 1: Brown skin. 2`: Black skin.` 3: White skin. |
+++probability | float | [0, 1] | Probability of being correct. |
++smile | integer | [0,100] | Smile Rating. face_attributes_type does not contain Smile or when more than 5 faces are detected, this parameter is still returned but is not informative. |
Response Example
,
"image_width": 0,
"image_height": 0,
"face_detail_infos": [
,
"face_detail_attributes_info": ,
"eye": ,
"eye_open": ,
"eyelid_type": ,
"eye_size":
},
"eyebrow": ,
"eyebrow_curve": ,
"eyebrow_length":
},
"gender": ,
"hair": ,
"bang": ,
"color":
},
"hat": ,
"color":
},
"head_pose": ,
"mask": ,
"mouth":
},
"moustache": ,
"nose": ,
"shape": ,
"skin": ,
"smile": 0
}
}
]
}
Authorizations
API Key for authentication
Body
multipart/form-data
The maximum number of faces processed. When set to 1, only the largest face in the image is detected. A smaller value leads to faster processing speed.
Whether to return attributes such as age, gender, mood, etc. AttributesInfo is returned for up to 5 faces with the largest area, and AttributesInfo for more than 5 faces (the 6th and later faces) are not referenced.
Whether to enable image rotation recognition support. When the face in the picture is rotated and there is no exif information in the picture, if you don't turn on the picture rotation recognition support, you can't detect and recognize the face in the picture correctly. If you are sure that the picture contains exif information or you are sure that the face in the input picture will not be rotated, please do not turn on this parameter. If this parameter is turned on, the overall time required may increase by hundreds of milliseconds.
0: Close.1: Open.
Response
200 - application/json
Success
The response is of type object.
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