Classify Images

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

POSThttps://api.spyne.ai/auto/classify/v1/image

AuthBearer token

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Request body

Parameter	Type	Required	Description
`image_file`	string	Optional	Upload an image to classify and validate
`image_url`	string	Optional	URL of an image to classify and validate Default: `https://spyne-prod-tech.s3.amazonaws.com/fGD1VC1So/TJgk9lIE/02d374d9674c4d5abb730485cb6d8380/75a6d8bf7a77457c/images/input/hres_I2IXTXOCWE_75a6d8bf7a77457c_Exterior_1.jpg`.
`car_classifier`	boolean	Optional	Identifies if a car is present in the image Expected response: `true` / `false` Default: `true`.
`car_type_classifier`	boolean	Optional	Identifies the type of car present in the image Expected response: `SUV` / `Sedane` / `Hatchback` / `Pickup` / `Sports` Default: `true`.
`car_shoot_category`	boolean	Optional	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. Default: `true`.
`car_interior_category`	boolean	Optional	Identifies the interior car component captured in the image Expected response: `Dashboard` / `Odometer` / `Gearbox` Default: `true`.
`angle_detection`	boolean	Optional	Measures the angle of the car in the image relative to its front view (0°) Minimum value: `0°` Maximum value: `359°` Default: `true`.
`crop_detection`	boolean	Optional	Determines if the car in the image has been cropped Expected response: `true` / `false` Default: `true`.
`distance_detection`	boolean	Optional	Determines if the car was captured from far away Expected response: `good` / `bad` Default: `true`.
`exposure_detection`	boolean	Optional	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 Default: `true`.
`reflection_detection`	boolean	Optional	Recognizes the presence of reflections on the car body Expected reponse: `true` / `false` Default: `true`.
`tilt_detection`	boolean	Optional	Identifies the tilt of the car in the image relative to the ground Minimum value: `0°` Maximum value: `45°` Default: `true`.
`window_tint_detection`	boolean	Optional	Recognizes the presence of tinted windows on the car in the image Expected reponse: `true` / `false` Default: `true`.
`tyre_mud_detection`	boolean	Optional	Recognizes if mud is present on the tires of the car in the image Expected reponse: `clean` / `dirty` && `dirty tyre`: {count}, `clean tyre`: {count} Default: `true`.
`number_plate_detection`	boolean	Optional	Determines the presence of license plate on the car in the image Expected reponse: `true` / `false` Default: `true`.

Sample request

curl --request POST \
  --url 'https://api.spyne.ai/auto/classify/v1/image' \
  --header 'Authorization: Bearer YOUR_API_KEY'

import requests

url = "https://api.spyne.ai/auto/classify/v1/image"
headers = {"Authorization": "Bearer YOUR_API_KEY"}

response = requests.post(url, headers=headers)
print(response.status_code, response.json())

const response = await fetch("https://api.spyne.ai/auto/classify/v1/image", {
  method: "POST",
  headers: {
    Authorization: "Bearer YOUR_API_KEY",
  },
});
console.log(response.status, await response.json());

Sample response

{
  "code": "HTTP_200_SUCCESS",
  "message": "Success",
  "data": {
    "validation_result": {
      "car_classifier": {
        "value": true
      },
      "car_type_classifier": {
        "value": "SUV"
      },
      "car_interior_category": {
        "value": "Not an interior car image."
      },
      "car_shoot_category": {
        "value": "Exterior"
      },
      "angle_detection": {
        "value": 330
      },
      "crop_detection": {
        "value": {
          "left": false,
          "top": false,
          "right": false,
          "bottom": false
        }
      },
      "distance_detection": {
        "value": "good"
      },
      "exposure_detection": {
        "value": "Med"
      },
      "reflection_detection": {
        "value": "high"
      },
      "tilt_detection": {
        "value": 4.062
      },
      "tyre_mud_detection": {
        "value": "bad",
        "tyres": {
          "clean": 0,
          "dirty": 2
        }
      },
      "window_tint_detection": {
        "value": true
      },
      "number_plate_detection": {
        "value": true
      }
    }
  },
  "error": false,
  "details": {}
}

{
  "code": "HTTP_401_UNAUTHORIZED",
  "message": "Invalid Auth-key",
  "data": {},
  "error": true,
  "details": {}
}

Errors

Status	Meaning	When it happens
`401`	Unauthorized	Invalid Auth-key