A Novel Few Shot Learning Framework
As humans, we can learn to recognize a new visual event after seeing one or two examples.
We have built a novel Few Shot Learning framework, named VED-X, which is capable of doing just that.
VED-X allows you to train models that can recognize almost any event that can be recognized visually by providing only a few examples of that event.
If the model makes a mistake, you can flag the mistake and your feedback gets incorporated back into the model instantly to improve the accuracy.
"It's like magic!"
That is the most common reaction we get from those who have tried it.