IZ*Net is the definitive way to differentiate between the Jo Yuriz trio!

Ok, the astute WIZ*One will notice that I have mislabelled all three girls, so let's try again:

Much better!

All jokes aside, IZ*Net is just a fun project I worked on to gain some experience with deep learning and CNNs. You can read up about my adventure in the writeup I put together. (Even if you don't care about deep learning and CNNs, I would recommend giving a brief look at Appendix A. I use a segment tree to pick uniformly random objects!)

For a bit of a more technical background, IZ*Net consists of two networks: one to detect faces using the YOLO algorithm and another to recognize the faces.

If you'd like to look at code:

• faceRecognition - Is a module I used to develop the face recognition model.
• notebooks - Contains my notebooks for this project
  • FaceDetection.ipynb - Develops the face detection model using the YOLO algorithm
  • FaceRecognition.ipynb - Develops the face recognition model
  • IZ_NET.ipynb - Develops the final system
  • ObjectDetectionTest.ipynb - Develops a rectangle detection model (used this to make sure I had implemented YOLO correctly)
• misc - Miscellaneous files (face/bounding box extraction scripts, scraper script, etc.)
• writeup - All my LaTeX files, if for whatever reason you wanted to look at that