Classify Images

This API can be used to classify and validate the car images on certain parameters

Body Params
file

Upload an image to classify and validate

string
Defaults to https://spyne-prod-tech.s3.amazonaws.com/fGD1VC1So/TJgk9lIE/02d374d9674c4d5abb730485cb6d8380/75a6d8bf7a77457c/images/input/hres_I2IXTXOCWE_75a6d8bf7a77457c_Exterior_1.jpg

URL of an image to classify and validate

boolean
Defaults to true

Identifies if a car is present in the image

Expected response: true / false

boolean
Defaults to true

Identifies the type of car present in the image

Expected response: SUV / Sedane / Hatchback / Pickup / Sports

boolean
Defaults to true

Identifies the shoot category of car

Expected response: Exterior/ Interior/ Miscellaneous

-- Exterior refers to the detection of the outside of the car -- Interior refers to the detection of the inside of the car -- Miscellaneous refers to the detection of body parts such as the engine, tires, trunk etc.

boolean
Defaults to true

Identifies the interior car component captured in the image

Expected response: Dashboard / Odometer / Gearbox

boolean
Defaults to true

Measures the angle of the car in the image relative to its front view (0°)

Minimum value: Maximum value: 359°

boolean
Defaults to true

Determines if the car in the image has been cropped

Expected response: true / false

boolean
Defaults to true

Determines if the car was captured from far away

Expected response: good / bad

boolean
Defaults to true

Determines if the car was captured in poor lighting conditions

Expected reponse: low / med / high

-- low refers to when the car is in a dimly lit environment -- high refers to when the car is in an bright environment -- med refers to when the lighting conditions are optimal

boolean
Defaults to true

Recognizes the presence of reflections on the car body

Expected reponse: true / false

boolean
Defaults to true

Identifies the tilt of the car in the image relative to the ground

Minimum value:
Maximum value: 45°

boolean
Defaults to true

Recognizes the presence of tinted windows on the car in the image

Expected reponse: true / false

boolean
Defaults to true

Recognizes if mud is present on the tires of the car in the image

Expected reponse: clean / dirty && dirty tyre: {count}, clean tyre: {count}

boolean
Defaults to true

Determines the presence of license plate on the car in the image

Expected reponse: true / false

Responses

Language
Credentials
Bearer
Response
Click Try It! to start a request and see the response here! Or choose an example:
application/json