Convolutional neural network model for handwritten digit classification, with dataset generator, and drawable input for new digits to test the models.
a web application of handwritten digits recognition based on Django
Emerging Technologies Project - 4th Year 2017
Using Keras MobileNet-v2 model with your custom images dataset
Recognize Digits
An automated data collection system that can read sintering data on the meter by a single camera
Recognition of digits using Convolution Neural Networks and openCV Concept
hand-written digits recongnization base on RBM
Artificial Neural Network to identify handwritten digits between 0 and 9
WebCam Real Time Digits Recognition - OpenCV Python3
Implementation of multinomial logistic regression, tested on iris, digits, and cifar datasets
This repository contains some of the machine learning scripts that I have implemented as a part of Machine Learning coursework.
Application to scan exam cover pages and aggregate as well as analyze the exam's scores
Find the number of digits hold in the hand through computer vision, using the webcam video feed.
Interactive handwritten digit recognition
classify handwritten digits (0-9)
Digit recognition (MNIST dataset) using a fully connected neural network (97+ on test)
It can recognize Digits from 0 to 9. Used Local Binary Pattern (LBP) and Support Vector Machine (SVM).
5x5 digits recognize by neural network & Training data
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