Neural nets are widely used (as example for the MNIST dataset). Using neural networks and convolutional neural networks, in particular, we can get over 99% accuracy. However, the MNIST dataset is a dataset where each image only has one digit cropped and centered so that it is always in the same position.

If I were to create a neural network to recognize digits where the digits may not be in the center (and possibly there may be other objects or digits in the scene), how do I go about developing it?

I need to detect the digits and their position.


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.