Object Detection API uses Machine Learning and Computer Vision techniques to analyze an image and detect objects within it, returning the location and type of objects detected. It can be used to detect a variety of objects such as cars, people, animals, and many more.
This API can be trained on custom datasets to detect specific objects and can be used in various applications such as surveillance, self-driving cars, robotics, and image search.
The first step is to set Axios, a promise-based HTTP client for the browser and Node.js, that will allow you to call Eden AI API.
Next, you'll need to initialize the File System module in order to access local files on your computer.
Finally, you'll need to create your multipart/formdata parameters form:
To perform Object Detection, you'll need to create an account on Eden AI for free. Then, you will be able to get your API key directly from the homepage with free credits offered by Eden AI.
As shown above, we have called two different Object Detection engines in the script. Once the parameters values are passed, you can configure your request:
Then, you'll need to launch the request and print the result:
Here is an example of an Object Detection API response:
Using Object Detection with Eden AI API is quick and easy.
We offer a unified API for all providers: simple and standard to use, with a quick switch between providers and an access to the specific features of each provider.
The JSON output format is the same for all suppliers thanks to Eden AI's standardisation work. The response elements are also standardised thanks to Eden AI's powerful matching algorithms.
With Eden AI you have the possibility to integrate a third-party platform: we can quickly develop connectors. To go further and customize your Object Detection request with specific parameters, check out our documentation.