Quick Start Guide

After signing up for an API key to use VisionIQ, follow these 3 steps:

Step 1Train computer vision

Training is important. Use the training console to submit your own images and metadata to your private dataset. This improves visual search speed and accuracy because computer vision compares each query against the training images that you store in the system. If you don't train, the default is to use IQ Engines' public dataset and human crowdsourcing.

Step 2Try a visual scan

Use the visual scan console to test your API key. A visual scan is sent to our servers for image recognition where it searches against your private trained dataset. You can change your account Settings to use computer vision only, or back that up with human crowdsourcing.

Step 3Build your mobile app

We make it easy to integrate VisionIQ into your app by providing free client code libraries in all the major languages, including iOS and Android. Download the software from our client libraries and start building your mobile app. For fast visual scans, you can also store a small set of training images on the mobile client device itself using the iPhone or Android SDK.

Make sure to read both the system overview and API document - they will insure your development is a success.