Dec. 9, 2020
Image recognition is one of the most popular and recognizable applications of artificial intelligence, machine learning, and computer vision. And now, highly accurate, real-time image recognition is available for developers via image recognition APIs. Some platforms offer APIs that can help organizations add image and video analysis capabilities, but what’s needed is a easy-to-implement image recognition API that offers powerful computer vision services – like Chooch AI.
An image recognition API (short for “application programming interface”) is a set of procedures that defines how two different machines communicate: a client that wants to perform image recognition, and a server that executes the task of image recognition for the client. (Check out our article on the difference between an image recognition API and an image recognition SDK.)
You can think of an API as a kind of black box that allows users to interact with it via a limited set of pre-defined queries: the user sends a request, and the API returns the information the user has requested. In the case of an image recognition API, the user’s request will typically contain an image, and the API will return its best-guess prediction for the contents of that image.
The benefits of an image recognition API include:
Chooch is a visual AI company with a powerful, flexible, enterprise-class image recognition API, built by our dedicated team of computer vision experts. The Chooch platform is an all-in-one, user-friendly tool that unites every step of building AI models, from data collection and model development to training and deployment. Our clients have used the Chooch image recognition API to do everything from facial authentication to detecting forest fires.
Getting started with the Chooch image recognition API is simple—just check out these computer vision AI API videos
Use Chooch’s image recognition API by following these steps:
The image recognition API from Chooch AI is a simple, REST-based API that uses the JSON data format. Below is an example of a client request to the image recognition API using Python:
url = ‘https://api.chooch.ai/predict/image?url=https://s3.amazonaws.com/choochdashboard/base_site/ronaldo_suit.jpg&apikey=346g5717-1sd3-35h6-9104-b8h5c819dn19’
response = requests.post(url)
In response to this request, the image recognition API will return a response in real time containing information such as:
The benefits of a dedicated image recognition API are countless. It saves employees from tedious manual work, while businesses can start enjoying highly accurate performance immediately instead of taking months to build their own image recognition system. Check out our computer vision API videos to see just how easy it is to get started, or sign up for our AI platform to get your free API key for the Chooch image recognition API. Or, for more information sign up for an image recognition demo or object recognition demo.