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.
Using neural networks to recognize digits in a scene
neural network;convnet;mnist