Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.
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Updated
Oct 11, 2016 - Python
Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.
Explored CNNs with TensorFlow to create models for cropped single-digit and original multi-digit images from SVHN dataset.
Multi-Number-Recognition using Street View Housing Numbers (SVHN) with Tensorflow.
Using the SVHN datset, a deep cnn model is trained in pytorch with a slightly different training routine and another straight forward cnn model in keras
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
Implement a DCGAN on the Street View House Numbers (SVHN) dataset.
A series of experiments using convnets and LSTMs to generate text from images
Adversarial Discriminative Domain Adaptation in Chainer
Comparative Study of Differential Privacy on MNIST, SVHN and CIFAR-10 datasets
An Image Recognition tutorial written for the HyperionDev blog
A implementation of [Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks](https://arxiv.org/pdf/1312.6082.pdf).
SVHN Classifier with TFLearn
I implemented a detection algorithm with a classification data set that does not have annotation information for the bounding box. Based on resnet50 network, I implemented text detector using class activation mapping method.
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
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