Current cutting-edge facial recognition models offer human-level accuracy. Still, we can improve facial recognition model accuracies if we represent classifications…
Decide Whom Your Child Looks Like with Facial Recognition: Mommy or Daddy?
Parents do discuss whom their child is looking like but no one can really be convinced about the result with…
How to Find False Positives in Facial Recognition with Neo4j
Facial recognition models already reached and passed human level accuracy. Still, these cutting-edge models do some clear mistakes when verifying…
A Gentle Introduction to Zero to the Power of Zero
Any number to the power of zero is 1. Meanwhile, zero to the power of any number is 0. Combination…
Normalization for Facial Recognition with MediaPipe
Detection and alignment are important early mandatory stages of a modern facial recognition pipeline. However, face detection depends on extracting…
Virtual Background with Mediapipe
Are you using virtual backgrounds in your online meetings? The answer is probably yes. We can join meetings with such…
Deep Face Detection with Mediapipe
Mediapipe is a Google powered machine learning solution covering face detection task as well. It focuses on live and streaming…
A Gentle Introduction to Student’s T-Test
Guinness is a tasty dark stout beer. It contributed a fundamental tool in science and statistics beyond its taste. In…
Gradient Boosting vs Adaboost
Boosting makes decision trees cool again. Here, gradient boosting and adaboost are the most common boosting techniques for decision tree…
Random Forest vs Gradient Boosting
Tree-based algorithms are very promising in daily data science problems but their some extended adaption makes them so popular nowadays.…
