Without tags, images can be hard to search and locate. Images of similar items can sometimes be difficult to distinguish easily, meaning that people may access the wrong image. Auto-tagging can identify what is in an image, such as people, locations, settings, objects, and colours.
For each image, the app could use a Core ML model to try to identify objects and then suggests keywords the user may select or not when adding tags.
Without tags, images can be hard to search and locate. Images of similar items can sometimes be difficult to distinguish easily, meaning that people may access the wrong image. Auto-tagging can identify what is in an image, such as people, locations, settings, objects, and colours.
For each image, the app could use a Core ML model to try to identify objects and then suggests keywords the user may select or not when adding tags.