EricLBuehler/PerceiverIO-Classifier
A classifier based on PerceiverIO
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.
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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.
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Jupyter Notebook
License
BSD-2-Clause
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Last pushed
May 03, 2022
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