Detecting digits on the image using Convolution Neural Networks
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Updated
Jul 27, 2017 - Python
Detecting digits on the image using Convolution Neural Networks
This model takes an image, detects the number plate and then predicts the numbers.
A neural networks that recognise handwritten digits
This is a software that can solve the sudoku puzzle using an image of the puzzle. It uses Computer vision to recognize the puzzle in the image and a machine learning model to recognize the digits in the puzzle. Then a C program solves the puzzle and returns the answer in the puzzle format.
A program where you can draw something without a keyboard or a mouse. It does not end here, it will give a random integer to draw, the Neural Network will predict the digit that you drew. The whole program works like a game.
In k-NN classification, we will observe the class label of nearest neighbors and will take the majority of votes. Based on the K value we can decide how far we have to go for exploring nearest class labels.
Recognize digits with hand gestures!
Scan a hand-written score sheet and compute the sum for each column
Machine Learning Final Project on SVHN dataset
Coded Examples of Different types of Clustering Techniques...
Digit Recognition using python
This repository is a implementation of one of the task in e-Yantra Robotics Competition (eYRC) 2015-16
This project contains codes and trained models in order to detect and recognize Persian debit cards number using image recognition techniques.
Implementation of classical Machine Learning algorithms for digit recognition on MNIST dataset
A convolutional model for recognition of handwritten digits, plus, the driver program for the same.
Codes for Bangla Handwritten Digit Classification on NumtaDB
Algorithmically generating Bengali digits and classification using MobileNetV2 for Bangladeshi license plate detection
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