Welcome to Vehicles API documentation!¶
Car noCar Classifier¶
Description¶
This API provides an image classifier which understands if an image contains a car or not.
Request:¶
The API expects a POST request providing an image, encoded in base64 format.
Learn here about the base64 format.
Find here an online converter.
POST to: https://api.cloudif.ai/cnc/predict
Response¶
The API returns an array of JSON Object with the label and probability score associated in the following order:
- car
- no_car
- other
Here’s the OpenAPI 3 specification.
openapi: 3.0.0
info:
title: Vehicle Type
description: Vehicle Type Classification API.
version: 0.1.9
servers:
- url: https://api.cloudif.ai/cnc/predict
description: Production server
paths:
/predict-vehicle:
post:
summary: Requires a base64 encoded image as body request, returns the predicted vehicle type.
description:
It expect as input a base64 encoded image, black & white images are not allowed.
To encode the image you can use a webtool like https://www.base64decode.org/
Returns a list of float with the prediction confidence for the given class. The available classes have this positional order [car, no-car].
requestBody:
description: Encode the vehicle image you want to classify.
required: true
content:
application/json:
schema:
type: object
properties:
base64:
type: string
format: int64
example: "iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNc85+hnoEIwDiqkL4KAezxFa8zNQrMAAAAAElFTkSuQmCC"
responses:
'200': # status code
description: A JSON array of class probabilities
content:
application/json:
schema:
type: array
items:
type: string
'400': # status code
description: 'Bad request.'
Example Request¶
Here’s an example request made with Python 3. Remember to replace YOUR_BASE64_STRING and YOUR_API_KEY with current values Remember to change your API Key in the following code.
import http.client
conn = http.client.HTTPConnection("api.cloudif.ai")
payload = "{\n \"base64\": \"YOUR_BASE64_STRING"
headers = {
'Content-Type': "application/json",
'x-api-key': "YOUR_API_KEY",
'User-Agent': "PostmanRuntime/7.16.3",
'Accept': "*/*",
'Cache-Control': "no-cache",
'Postman-Token': "8f05ff29-7a87-44ba-a88c-6a11162db39e,55d71da6-56ed-43ca-bb24-0589a11dfb91",
'Host': "api.cloudif.ai",
'Accept-Encoding': "gzip, deflate",
'Content-Length': "8114",
'Connection': "keep-alive",
'cache-control': "no-cache"
}
conn.request("POST", "cnc.predict", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))
Example Response¶
Here’s an example response.
{
"response": {
"status": "success",
"prediction": "car",
"results": [
{
"score": 0.974482,
"label": "car"
},
{
"score": 0.0255056,
"label": "no-car"
}
]
}
}
Authentication¶
Use your private API key.
Performances and Limits¶
Limit size for upload: 2 MegaByte
Vehicle Type Classifier¶
Description¶
This API provides an image classifier which understands if an image is a car, a motorcyle or a business vehicle.
Request:¶
The API expects a POST request providing an image, encoded in base64 format.
Learn here about the base64 format.
Find here an online converter.
POST to:
Response¶
The API returns an array of JSON Object with the label and probability score associated in the following order:
- car
- motorcyle
- business vehicle
Here’s the OpenAPI 3 specification.
openapi: 3.0.0
info:
title: Vehicle Type
description: Vehicle Type Classification API.
version: 0.1.9
servers:
- url: https://api.cloudif.ai/vehicle-type/predict
description: Production server
paths:
/predict-vehicle:
post:
summary: Requires a base64 encoded image as body request, returns the predicted vehicle type.
description:
It expect as input a base64 encoded image, black & white images are not allowed.
To encode the image you can use a webtool like https://www.base64decode.org/
Returns a list of float with the prediction confidence for the given class. The available classes have this positional order [car, motorbike, business vehicle].
requestBody:
description: Encode the vehicle image you want to classify.
required: true
content:
application/json:
schema:
type: object
properties:
base64:
type: string
format: int64
example: "iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNc85+hnoEIwDiqkL4KAezxFa8zNQrMAAAAAElFTkSuQmCC"
responses:
'200': # status code
description: A JSON array of class probabilities
content:
application/json:
schema:
type: array
items:
type: string
'400': # status code
description: 'Bad request.'
Example Request¶
Here’s an example request made with Python 3. Remember to replace YOUR_BASE64_STRING and YOUR_API_KEY with current values Remember to change your API Key in the following code.
import http.client
conn = http.client.HTTPConnection("api.cloudif.ai")
payload = "{\n \"base64\": \"YOUR_BASE64_STRING"
headers = {
'Content-Type': "application/json",
'x-api-key': "YOUR_API_KEY",
'User-Agent': "PostmanRuntime/7.16.3",
'Accept': "*/*",
'Cache-Control': "no-cache",
'Postman-Token': "8f05ff29-7a87-44ba-a88c-6a11162db39e,55d71da6-56ed-43ca-bb24-0589a11dfb91",
'Host': "api.cloudif.ai",
'Accept-Encoding': "gzip, deflate",
'Content-Length': "8114",
'Connection': "keep-alive",
'cache-control': "no-cache"
}
conn.request("POST", "vehicle-type.predict", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))
Example Response¶
Here’s an example response.
{
"response": {
"status": "success",
"prediction": "car",
"results": [
{
"score": 0.974482,
"label": "car"
},
{
"score": 0.0255056,
"label": "motorcyle"
},
{
"score": 1.24175e-05,
"label": "business"
}
]
}
}
Authentication¶
Use your private API key.
Performances and Limits¶
Limit size for upload: 2 MegaByte