Facial Attribute Detection, Cellebrite

Sheryl Sitruk

Data Science Fellows June 2020 Cohort



Detecting facial attribute and accessories on images

Challenges (at least two)

  1. Working with a team over zoom
  2. Dealing with computer vision problem 

Achievements (according to KPIs)

  1. Around 95% accuracy with deep learning models
  2. Around 90% accuracy using embeddings and classic machine learning models

Future project development 

During this project I managed a computer vision project from the beginning to the end. Starting by collecting, data, training and finally creating an API. 

This project will be used by Cellebrite for their internal use. 

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