EricLBuehler/PerceiverIO-Classifier

A classifier based on PerceiverIO

28
/ 100
Experimental

This project provides a pre-trained image classifier that can identify handwritten digits. It takes 28x28 pixel black-and-white images as input and outputs a classification of the digit shown in the image. This tool is useful for developers or machine learning practitioners who need a robust image classification model for digit recognition tasks.

No commits in the last 6 months.

Use this if you are a machine learning developer looking for an existing, high-accuracy model for classifying handwritten digits from small, grayscale images, and you are comfortable working in a Google Colab environment with GPU support.

Not ideal if you need to classify complex, color images or objects other than handwritten digits, or if you prefer a ready-to-use API without needing to engage with training scripts.

handwritten-digit-recognition image-classification machine-learning-development deep-learning
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 8 / 25

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8

Forks

1

Language

Jupyter Notebook

License

BSD-2-Clause

Last pushed

May 03, 2022

Commits (30d)

0

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