High-quality custom model training as a service seems much more compelling.
High-quality custom model training as a service seems much more compelling.
That means you might have an interest in sailing, travel offers, or outdoor equipment, and Facebook can test that theory, and see if related advertisements have higher conversion rates.
It's also beneficial for user engagement, and by analyzing your photos, Facebook could recommend related groups in your area, or upcoming sailing events.
On the other end, imagine you make cosplay outfits for a living. You want to promote your business. Wouldn't it be efficient if you could only show your advertisement to Instagram or Snapchat users that post a high percentage of cosplay photos? That would result in a much higher click-through rate, and they could charge a higher premium for those targeted advertisements.
Or, what if you run a wallpaper site, where users upload wallpapers? You could automatically categorize and tag those images for users to search. Or, if someone is viewing a wallpaper of a sunset, you might want to show related sunset wallpapers that could interest them. That's pretty powerful. You could upload one million photos, and with a little work have them all nicely arranged in categories.
Custom computer vision models are good if you're looking for depth in certain categories. For example, if you're a gardening app and you want to take a pic of a flower and be able to recognize different species of flowers, then custom training is required.
There are some options with computer vision API companies where they will let you do custom model training. IBM will do custom training as a service for $$$$ but if you don't want to pay like crazy, Clarifai has a free (to a certain point) offering that lets you train a custom image recognition model on your own https://developer.clarifai.com/guide/train#train
Disclaimer: I work on Google Cloud, but not Vision.
Of course taking as an example for a sport’s clothing company where their digital assets are mostly related to their products a general purpose API might not get the subtle differences between two similar shoes, or clothing lines from different seasons. But it might be enough to help catalog that one image or video has a sports person in, and the other is a fashion shoot or product shot.