Hi rookie question:
How you retrain a model to add detection of a single class
(company tee shirt)
do you need examples of “NOT” the class,
wouldn’t that be everything else in the world ?
i since found this https://medium.com/@lankinen/one-class-classifying-what-kind-of-data-set-i-should-have-1486358e491b
which was great but still interested in anyone’s thoughts.
Are you trying to classify images that always have shirts as company tee or not company tee? If so, you need images of the shirts you’re trying to find vs other random images of shirts you’re not trying to find. Otherwise, you’ll need a few other random photos to prevent your model from guessing “company shirt” 100% of the time. It’s not going to recognize other things from the random images, it’ll just learn to ignore things that it can’t rely on when it comes to detecting company shirts. Hope I made it clear