├── C#
    └── C#QuickStart.cs
├── Java
    └── JavaQuickStart.java
├── Python
    └── PythonQuickStart.py
└── README.md


/C#/C#QuickStart.cs:
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 1 | var client = new HttpClient();
 2 | var request = new HttpRequestMessage
 3 | {
 4 |     Method = HttpMethod.Post,
 5 |     RequestUri = new Uri("https://face-mask-detection.p.rapidapi.com/FaceMaskDetection"),
 6 |     Headers =
 7 |     {
 8 |         { "x-rapidapi-key", "APIKEY" },
 9 |         { "x-rapidapi-host", "face-mask-detection.p.rapidapi.com" },
10 |     },
11 |     Content = new FormUrlEncodedContent(new Dictionary<string, string>
12 |     {
13 |         { "linkFile", "<REQUIRED>" },
14 |     }),
15 | };
16 | using (var response = await client.SendAsync(request))
17 | {
18 |     response.EnsureSuccessStatusCode();
19 |     var body = await response.Content.ReadAsStringAsync();
20 |     Console.WriteLine(body);
21 | }
22 | 


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/Java/JavaQuickStart.java:
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 1 | HttpRequest request = HttpRequest.newBuilder()
 2 | 		.uri(URI.create("https://face-mask-detection.p.rapidapi.com/FaceMaskDetection"))
 3 | 		.header("content-type", "application/x-www-form-urlencoded")
 4 | 		.header("x-rapidapi-key", "APIKEY")
 5 | 		.header("x-rapidapi-host", "face-mask-detection.p.rapidapi.com")
 6 | 		.method("POST", HttpRequest.BodyPublishers.ofString("linkFile=%3CREQUIRED%3E"))
 7 | 		.build();
 8 | HttpResponse<String> response = HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString());
 9 | System.out.println(response.body());
10 | 


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/Python/PythonQuickStart.py:
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 1 | import requests (From Rapidapi.com)
 2 | 
 3 | url = "https://face-mask-detection.p.rapidapi.com/FaceMaskDetection"
 4 | 
 5 | payload = "imageBase64=%3CREQUIRED%3E"
 6 | headers = {
 7 |     'content-type': "application/x-www-form-urlencoded",
 8 |     'x-rapidapi-key': "Rapidapi key",
 9 |     'x-rapidapi-host': "face-mask-detection.p.rapidapi.com"
10 |     }
11 | 
12 | response = requests.request("POST", url, data=payload, headers=headers)
13 | 
14 | print(response.text)
15 | 


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/README.md:
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 1 | ## Face Mask Detection
 2 | PresentID Face mask detection API can detect whether a person is wearing a mask.
 3 | This service can recognize all the faces in the image and say whether people have masks or not!
 4 | 
 5 | ![mask-myths 1](https://user-images.githubusercontent.com/63470748/119659107-18050300-be43-11eb-8fec-e4af2e6f1831.jpg)
 6 | 
 7 | 
 8 | **Input:**
 9 | - Image file
10 | - Image URL link
11 | - Base64 image
12 | 
13 | **Output:**
14 | - Masked: 0 or 1
15 | 
16 | **Ability & Potentials:**
17 | - Recall rate on FDDB:70.6, Classification Accuracy: 93.7.
18 | - Less than 300 milliseconds processing time.
19 | - Detect all small and large faces.
20 | - High-precision detection of size; pitch, roll, yaw, and 14-point key landmarks.
21 | - Low resource and impressive high performance.
22 | - Robust detection of faces with rotation, glasses, etc.
23 | - Region of interest detection.
24 | - Support IOS, Android, Windows, and Mac devices.
25 | - Easy integration with your app.
26 | 
27 | **Use Cases:**
28 | - Building access control
29 | 
30 | **Rules & Restrictions:**
31 | - Send data via base64 or an image URL or an image file.
32 | - Image size should not exceed 8 MB.
33 | - Also, the images should not be larger than 5000 pixels and smaller than 50 pixels.
34 | ## Free try in RapidAPI
35 | https://rapidapi.com/PresentID/api/face-mask-detection
36 | 


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