How the Deep Cat Meme Detector Works

Deep Cat Meme Detector uses advanced computer vision algorithms, specifically designed by our team of highly trained, highly caffeinated engineers, to identify and categorize cat pictures into various meme subtypes.

These algorithms are based on the latest research in neural networks and are trained on a dataset of 100,000+ cat pictures, each carefully curated and labeled with its corresponding meme type.

Our detector is capable of recognizing over 50 different cat meme types, from 'Cat of the Day' to 'Doge the Cat' and everything in between.

Here's a breakdown of how it works:

We use a combination of computer vision techniques, including edge detection, color analysis, and texture recognition, to analyze the input image.
Our algorithms then match the analyzed features to our extensive database of known meme characteristics.
We return a result, along with a confidence score, indicating the likelihood that the input image is a specific type of cat meme.

Want to know more?

Check out our Technical Details page for a deeper dive into the math behind the madness.

Or, if you're feeling generous, you can Donate to support our research and development.

Still have questions?

Or, if you're feeling particularly clever, try to Challenge Us with your own cat meme image.