Student Project

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."

Last updated: October 7, 2016