Imagga image recognition API is very easy to use. It offers the biggest number of relevant keywords per single image and it's fast and amazingly reliable.
Ivan Iliev, founder, Eden Tech Labs
Eden Photos uses Imagga’s auto-tagging API to index your personal photos and provide search and categorization capabilities across all Apple devices connected to iCloud account. The Eden Photos agent installed on your Mac will process all photos available in Photos, Dropbox or any folder you can add and will automatically suggest relevant keywords. Imagga auto-tagging and categorization APIs were used to enable keyword detection and provide the core functionality of the app.
The Challenge Eden Photos was in search for an image recognition technology that will be able to precisely recognize hundreds of objects in personal photos. With its deep integration into Mac OS and Photos, Eden Photos helps professional photographers optimize their workflows and photo enthusiasts to organize and find photos with ease.
Imagga offers a unique combination of auto-tagging and auto-categorization technologies optimized for recognizing the type of content present in personal photos. This makes the Imagga API a perfect fit for Eden Photos. It is important to have an accurate technology which at the same time can suggest a lot of keywords for each photo. Having as many keywords for the images as possible is important for both of our target groups - professional photographers that organize and upload keyworded photos for sale and photo enthusiasts that need to organize and find their photos fast.
The Solution Eden Photos is a Mac OS application which uses deep learning to suggest image tags on your desktop and in iCloud. The app offers seamless integration in the tools you are already using - Photos, Finder and Spotlight Search are now aware of the content of your photos! The aps runs in the background and you don’t need to do anything other that adjusting its settings if you’d like to.
The key features of Eden Photos are:
Here’s what Ivan Iliev, CEO of Eden Labs has to say about Imagga’s API:
“It was a smoothless experience and we never had any problems with the integration. Making an HTTP upload request to the API and then getting the tags and the categories is all we had to do. Imagga image recognition API is very easy to use. It offers the biggest number of relevant keywords per single image. Also quite fast and amazingly reliable.”
Results Eden Photos was just released on the Mac Store and is getting good momentum. If you sync your personal photos on all devices, installing the app on your laptop will also enable keyword search in Photos app on your iPhone and iPad devices. What’s impressive is you don’t need to download another app. All metadata is propagated back to the your photos and accessible via Apple’s Photos app.
“It (Imagga API) simply works, and it works as expected! It was quite easy for us to integrate the tagging and the personal photo categorization functionalities within the app in a matter of hours. Then we experimented a bit with the thresholds in the confidence levels as an ongoing process. After that we practically “forgot” about the API as it was working smoothly through the whole development process of Eden Photos.”, said Ivan Iliev, CEO of Eden Tech Labs.