Computer Vision
This page contains a set of .air files (and associated python scripts) to help you get up & running with some computer vision use cases with AI Squared
CIFAR-10 is data set comprised of 10 classes of images (e.g. airplane, automobile, etc.), allowing you to train a computer vision classifier to determine which of the 10 classes an input image belongs to.
CIFAR10Classifier.air
2MB
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You can download this file, and then drag & drop it into the AI Squared extension
CIFAR10_air.ipynb
19KB
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This use case trains a model on a Kaggle dataset of MRI images of healthy and tumorous brains, and will give a binary classification (either "yes" = there is a tumor present, or "no" = there is no tumor present).
MRIClassifier.air
7MB
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You can download this file, and then drag & drop it into the AI Squared extension
train_mri_model.py
2KB
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Last modified 2mo ago