{
"detections": [
{
"angle": [],
"box": {
"br_x": 0.7382,
"br_y": 0.7271,
"tl_x": 0.2115,
"tl_y": 0.2993
},
"class": {
"name": "car",
"probability": 0.9807
},
"color": [],
"mm": [],
"mmg": [
{
"generation_id": 19047,
"generation_name": "III",
"make_id": 79,
"make_name": "Peugeot",
"model_id": 1783,
"model_name": "3008",
"probability": 0.989,
"years": "2023-"
}
],
"status": {
"code": 0,
"message": "",
"selected": true
},
"subclass": [
{
"name": "vehicle",
"probability": 1
}
]
},
{
"angle": [],
"box": {
"br_x": 0.4228,
"br_y": 0.5976,
"tl_x": 0.0842,
"tl_y": 0.3151
},
"class": {
"name": "car",
"probability": 0.9908
},
"color": [],
"mm": [],
"mmg": [],
"status": {
"code": 31,
"message": "Box rejected. Box was not selected according to the currently active selection strategy: center",
"selected": false
},
"subclass": []
},
{
"angle": [],
"box": {
"br_x": 0.265,
"br_y": 0.5691,
"tl_x": 0.0587,
"tl_y": 0.324
},
"class": {
"name": "car",
"probability": 0.3324
},
"color": [],
"mm": [],
"mmg": [],
"status": {
"code": 31,
"message": "Box rejected. Box was not selected according to the currently active selection strategy: center",
"selected": false
},
"subclass": []
},
{
"angle": [],
"box": {
"br_x": 0.2197,
"br_y": 0.4184,
"tl_x": 0.0128,
"tl_y": 0.2777
},
"class": {
"name": "car",
"probability": 0.5305
},
"color": [],
"mm": [],
"mmg": [],
"status": {
"code": 23,
"message": "Box rejected. Height is 101 which is less than box_min_height 140",
"selected": false
},
"subclass": []
},
{
"angle": [],
"box": {
"br_x": 0.0528,
"br_y": 0.3732,
"tl_x": 0.0026,
"tl_y": 0.2878
},
"class": {
"name": "car",
"probability": 0.574
},
"color": [],
"mm": [],
"mmg": [],
"status": {
"code": 22,
"message": "Box rejected. Width is 64 which is less than box_min_width 180",
"selected": false
},
"subclass": []
}
],
"is_success": true,
"meta": {
"classifier": 2266,
"md5": "03D5541B58310E471EF556D597BF94CF",
"parameters": {
"box_max_ratio": 3.15,
"box_min_height": 140,
"box_min_ratio": 1,
"box_min_width": 180,
"box_select": "center",
"features": [
"mmg"
],
"region": [
"DEF"
]
},
"time": 0.082
}
}
curl --location 'https://zylalabs.com/api/14778/car+make+model+generation+recognition+api/38290/detects+and+recognizes+vehicles+in+photo' \
--header 'Content-Type: application/json' \
--form 'image=@"FILE_PATH"'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Car Make Model Generation Recognition API simply include your bearer token in the Authorization header.
| Header | Description |
|---|---|
Authorization
|
Required
Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.
|
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
Car photo in, make, model and generation out, with years, body color and angle, in about 0.1 seconds. 3,824 car generations. Our own vision models, not an LLM: fast and the same answer every time.
The API returns data about a car's make, model, generation, production years, body color, and the angle from which the photo was taken. It provides the top three guesses for each category along with their probabilities.
Key fields in the response include "detections," which contains details like "angle," "box" (bounding box coordinates), "class" (vehicle type), "color," and "mm" (make, model, generation details).
The response is structured as a JSON object with a "detections" array. Each detection includes fields for angle, bounding box, class, color, and make/model/generation information, allowing for easy parsing and analysis.
The endpoint accepts a required file upload parameter named `image` (JPEG, PNG, WEBP, GIF, BMP and TIFF, up to 12 MB.) and an optional query parameter `region`, which can be set to `DEF` for worldwide or `NA` for North America.
The API provides information on car make, model, generation, production years, body color, and the angle of the photo. It also indicates the location of the car in the image and whether it shows the body, interior, or other parts.
Users can customize requests by specifying the `region` parameter to limit results to North America or worldwide. They must also upload a single image file for detection.
Typical use cases include automotive applications like vehicle identification in insurance claims, car sales platforms, and mobile apps for car enthusiasts wanting to identify vehicles from photos.
Yes. Recognition runs on our own vision models built for cars, not on an LLM. On our servers it takes a median of 0.10 seconds for a photo with one car, and 90% of answers take under 0.14 seconds, not counting the upload. An LLM usually takes a few seconds per photo.
Yes, as long as the recognition version stays the same: the same make, model and generation, with fixed names, so answers are easy to store and compare. An LLM can word its answer differently each time.
We tested it on 1,000 random car photos from used-car websites and recognized 970+ of them correctly, an accuracy of 97+%. Results depend on your photos.
To obtain your API key, first sign in to your account and navigate to the API you want to use. From the API's Pricing section, choose a plan and complete the subscription process. Once subscribed, return to the API page and you will see your API Access Key displayed at the top of the documentation page. You can use this key to authenticate your requests.
You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.
The free trial lasts for 7 days and allows you to make up to 50 API requests.
No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.
Yes. If the API offers a free trial, you will see a "Free 7-Day Trial" option in its Pricing section. The trial lasts for 7 days and allows up to 50 API requests, enabling you to evaluate the API before subscribing to a paid plan.
Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.
You can monitor your API usage through the response headers included with every request:
x-zyla-api-calls-monthly-used: Shows the total number of API requests you have used during the current billing period.
x-zyla-api-calls-monthly-remaining: Shows the number of API requests you have remaining for the current billing period.
Yes, you can cancel your subscription at any time. Simply go to the Pricing section of the API you're subscribed to and click the "Unsubscribe" button.
Please note that upgrades, downgrades, and cancellations take effect immediately. Once your subscription is canceled, access to the service will end immediately, regardless of any remaining API calls in your quota.
Please have a look at our Refund Policy: https://zylalabs.com/terms#refund