Vehicle Type Classification API

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By Zyla Labs | Updated hace un mes | Visual Recognition
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5.2 / 10

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2,046ms

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100%

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README

The Vehicle Type Classification API is a machine learning-based API that can identify the type of vehicle based on an image of the vehicle. The API can classify vehicles into different categories such as cars, trucks, buses, motorcycles, and bicycles. This can be useful in various applications such as traffic monitoring, parking management, and self-driving cars.

The API works by taking an image of a vehicle as input and then analyzing the image using a deep neural network. The neural network has been trained on a large dataset of vehicle images, which allows it to accurately classify vehicles based on their visual characteristics. The API returns a JSON response, which includes the type of vehicle, and a confidence score for the classification.

The API is easy to use, and developers can integrate it into their applications using a simple RESTful interface. It can be accessed using an API key, which can be obtained from the provider. The API also includes detailed documentation, which provides information on how to use the API and troubleshoot any issues that may arise.

In terms of performance, the API is highly accurate and can classify vehicles with high confidence. It can also handle a wide range of image sizes and resolutions, making it suitable for use in a variety of applications. Overall, the Vehicle Type Classification API is a powerful tool that can help developers create more intelligent and efficient applications.

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