MotoTagger
Automatic tagging, Powered by AI
MotoTagger
Automatic tagging, Powered by AI
Save time with automated bulk image tagging.
AutoTag.AI is built for track day and race photographers to help you post-process your images faster.
AutoTag.AI is currently looking for beta testers. If you are interested in seeing how AutoTag fits in your workflow Contact Us.
Save time, Increase Productivity.
Just give AutoTag.AI the directory with your images and hit start. It’s that easy. AutoTag automatically detects each bike number and adds it as a keyword.
Robust detection algorithm.
AUtoTag.AI is able to detect numbers even if they are partially obscured. If more than one number plate is visible on a bike, AutoTag is able to use both for increased result confidence.
One image, Multiple Riders.
AutoTag.AI is able to tag all riders that are clearly visible in the frame. If the number plate can be seen the rider can be tagged.²
- Images courtesy of Sam Draiss Media
- AutoTag.AI is trained on images taken at NEMRR, MotoAmerica, and ASRA, and may need to be updated to reliably detect number plates in different series.
- AutoTag.AI requires and active internet connection to return a result. Images are only stored on our servers long enough to be processed and are deleted after a result is returned.
- Images shown include diagnostic overlays. AutoTag returns results without affecting original image.
- Feature only works if all number plates on bike have the same number. If two plate have different numbers AutoTag will use the most visible number plate.
- AutoTag.AI works by first detecting the bike then the number plate. If either the bike or the number plate are not visible AutoTag will not be able to return a result.