TinyTags

TinyTags allows you to easily search for images within the 80 million tiny images dataset provided by MIT and NYU. Our TinyTags model learns to categorize the images using a predefined set of tags, producing an accuracy estimate for each category prediction. The tags are obtained from the smaller 60,000 CIFAR-10 dataset that provides 32x32 color images labeled as "deer", "automobile", "truck", "cat", "dog", "bird", "airplane", "ship", "frog", and "horse."

TinyTags Landing Page
TinyTags Landing Page
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Feature Prediction
Feature Prediction
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About Page

Last updated:

October 7, 2016