Vehicle Make Recognition API is an advanced solution designed to quickly and accurately identify different characteristics of cars from images or visual data. It works using artificial intelligence and computer vision algorithms that extract key information in seconds, ensuring reliable, high-quality results.
This service is aimed at companies, developers, and projects that need to automate vehicle identification without relying on manual processes. Among the data that the API can detect are the make, model, generation, color, viewing angle, years of manufacture, and additional details that enrich the classification. This makes it an extremely versatile tool that can be adapted to multiple industries.
Its main use cases include fleet management, road safety, smart parking systems, toll verification, access control, and automation in car dealerships. Thanks to its accuracy, it is also very useful in research projects, traffic analysis, and applications related to urban mobility.
In short, this Vehicle Make Recognition API represents a reliable, efficient, and adaptable technological solution capable of transforming processes in multiple sectors and providing accurate information about vehicles in a matter of seconds.
{"date":"04/01/2026 06:32:33 AM","service":"vmmr","status":"SUCCESS","vehicle":{"angle":"Front Right","color":"Blue","generation":"I","make":"Lamborghini","model":"Urus","years":"2018-2023"},"version":"2.0"}
curl --location --request POST 'https://zylalabs.com/api/10308/vehicle+make+recognition+api/19864/car+recognition?inputurl=https://www.topgear.com/sites/default/files/2024/10/1-Lamborghini-Urus-SE-review-2024.jpg' --header 'Authorization: Bearer YOUR_API_KEY'
| Header | Description |
|---|---|
Authorization
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[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.
The Car Recognition endpoint returns detailed information about vehicles, including make, model, color, angle, generation, and years of manufacture. This data helps users identify and classify vehicles accurately.
Key fields in the response data include "make," "model," "color," "angle," "generation," and "manufacture_years." Each field provides specific insights into the vehicle's characteristics.
The response data is structured in a JSON format, with each key representing a specific attribute of the vehicle. This organized format allows for easy parsing and integration into applications.
The Car Recognition endpoint provides information on vehicle make, model, color, viewing angle, generation, and years of manufacture, making it versatile for various applications.
Users can customize their data requests by specifying parameters such as image format and resolution. This allows for tailored responses based on the quality of the input data.
The data is sourced from a combination of extensive vehicle databases and machine learning models trained on diverse datasets, ensuring a broad coverage of vehicle makes and models.
Data accuracy is maintained through continuous training of the AI models with updated datasets and rigorous quality checks, ensuring reliable identification of vehicle characteristics.
Typical use cases include fleet management, smart parking systems, toll verification, and traffic analysis. The API's accuracy makes it suitable for various industries requiring vehicle identification.
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The free trial lasts for 7 days and allows you to make up to 50 API requests.
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