potterhsu/SVHNClassifier
A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
Implements variable-length digit sequence prediction using a multi-task CNN architecture with separate classifiers for digit count and individual digit positions, achieving 93.45% accuracy on the SVHN dataset. The pipeline converts raw image annotations to TFRecords format for efficient training and includes TensorBoard visualization and inference utilities for both dataset images and external photographs.
210 stars. No commits in the last 6 months.
Stars
210
Forks
72
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
May 07, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/potterhsu/SVHNClassifier"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
greydanus/mnist1d
A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep...
potterhsu/SVHNClassifier-PyTorch
A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep...
kensanata/numbers
Handwritten digits, a bit like the MNIST dataset.
kdexd/digit-classifier
A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.
gsurma/digit_recognizer
CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).