Variational autoencoders can discover unique ways to encode-decode the input from a distribution. Bonus: It can generate images!
Category: computer vision
Back in college, I did a class project where I used computer vision techniques for the first time. It was the age before deep learning. Today, I want to revisit this old project.
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My Heritage In Color
An uploaded family photo inspired me to pick up a colorizer tool. Here is my post honoring my family’s history.
In this video, I’ll discuss my solution to the SIIM-ISIC Melanoma Classification Challenge hosted in Kaggle.
Hi all! I’m trying out this new format of publishing my projects through Powerpoint videos. Recording this way is fun. Let me know if this is a better format for you. This pet project is my tribute to books. As a machine learning person, I’d like to see if I can artificially create images of […]
If a computer would have eyes, what would it be able to recognize? Distinguishing cats and dogs would be nice, but what’s better is recognizing all 7,870 objects in the Open Images dataset!
Time for another vision blog. Here, I’ll talk about dogs. Humans can identify a dog from a cat well enough, but it’s a little harder to distinguish specific dog breeds. For instance, can you tell which is which in the following? Well, on the left is a Siberian Husky and on the right is an […]
It is the REAL DYL 