Introducing a newly released AI photo tagging app for the iphone. More details on our website (https://siwave.io) and a link to the kickstarter project.
We were having a hard time matching vision ML models accuracy results on static datasets with post deployment results. Therefore, we decided to create a simple-to-use internal tool to test models in real world situation before we actually deploy them on embedded platforms.
The tool metamorphosed into a productivity app to tag and manage photos. For example, the app will automatically compare a captured photo with similar photos in the library and copy over all custom tags.
We currently support 10+ different categories of vision applications that includes 50+ models. The list is dynamically updated to include additional categories and newly released models.
Would greatly appreciate any feedback or comments on the merits of the app (pros/cons/etc.)
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