Deep Face Recognition with mongoDB

Face recognition is mainly based on similarity search on facial embeddings. Researches mostly focus on storing vector representations on memory. … More

Feature Importance in Logistic Regression for Machine Learning Interpretability

Feature importance is a common way to make interpretable machine learning models and also explain existing models. That enables to … More

Designing Recursive Functions with Python Multiprocessing

Multiprocessing is a must to develop high scalable products. However, python multiprocessing module is mostly problematic when it is compared … More

Deep Face Recognition with ArcFace in Keras and Python

ArcFace is developed by the researchers of Imperial College London. It is a module of InsightFace face analysis toolbox. The … More

A Gentle Introduction to ROC Curve and AUC in Machine Learning

Model evaluation is very important stage of a machine learning pipeline to understand the robustness. Herein, ROC Curves and AUC … More

Large Scale Face Recognition with Elasticsearch

Previously, we have mentioned large scale face recognition with Spotify Annoy, Facebook Faiss and NMSLIB. Those are spectacular but very … More

A Day In The Life of a Data Science Chapter Lead

I recently became a data science chapter lead in my organization. It sounds a cool title, right? Firstly, this is … More

Facial Landmarks for Face Recognition with Dlib

Dlib can incredibly find 68 different facial landmark points including chin and jaw line, eyebrows, nose, eyes and lips. We … More

Face and Background Blurring with OpenCV in Python

Sometimes blurring and anonymizing faces might be required not to recognize identities in the public photos as Google does in … More

Face Recognition with SphereFace in Python

Nowadays, deep learning based face recognition models are accepted as state-of-the-art ones because they dominate the face recognition field. Herein, … More