If you want to search for the vehicle of your dreams without the necessity of using CarNET API, there are some alternative tools that might help you.
You may use the CarNET API to determine a car’s make, model, generation, color, and angle from an image of the vehicle. This API is capable of successfully recognizing cars in a variety of lighting and weather circumstances, thanks to computer vision and deep learning technology.
At the moment, the CarNET API can detect over 3100 distinct car models. This number is increasing every month as the company adds new vehicles to its database.
Whether you’re working on a large-scale project or simply considering developing your own app, the CarNET API can provide your users with a unique experience.
As we have already said, CarNET API is used by automobile buyers in order to find out the ideal vehicle for them. However, sometimes, many users complain about the platform’s issues, and not all people find CarNet as a useful application.
Nevertheless, you can also reach your dream car with other alternatives to CarNET API. Here are some of the best optional tools that you can use to get it:
1- Motorzam
Motrozam is an image-based API for detecting vehicles. This strong AI system can detect any vehicle from a snapshot and provide details on its make, model, and other features.
Motorzam allows you to search for any vehicle, including automobiles, motorcycles, and even trucks, using photographs and providing reliable data to the automotive markets. This technology also allows image search and auto-tagging of photographs to automotive marketplaces, among other things.
This platform is far too simple to operate. Simply load an image into the system, and the API will provide you with rapid and accurate response on car details. Motorzam also delivers trustworthy information because all data is gathered from vehicle manufacturers.
2- Deep Vision
Deep Vision AI has succeeded at providing intelligent picture and video analysis since its inception in 2014, allowing for new ways of comprehending and analyzing visual data.
Deep Vision offers AI-vision to a wide range of partners and clients in order to help them run their businesses more efficiently and effectively, develop new products, and accelerate business models. Deep Vision is headquartered in the United States, with a development center in Argentina.
3- TensorFlow
As a part of the self-driving cars technology, vehicle perception is a challenging task for the computer vision field.
This project aims to build a computer vision algorithm to detect front and rear car views using the TensorFlow Object Detection API by fine-tuning pre-trained state-of-the-art SSD+Inception V2 Model trained on the COCO dataset.
Also published on Medium.