Conference Video: Computer Vision for Beginners

This is Sanghamitra Deb’s presentation from WiDS Puget Sound Conference 2021. Enjoy!

ABSTRACT:

Use pre-trained models and do feature extraction, finetuning : apply them to classification and ranking problems. Build an object detection model with low latency, high accuracy and small training dataset. Learn which metrics are important to measure the performance of your computer vision model.

BIO:

Sanghamitra Deb is a Staff Data Scientist at Chegg, she works on problems related school and college education to sustain and improve the learning process. Her work involves recommendation systems, computer vision, graph modeling, deep NLP analysis , data pipelines and machine learning. Previously, Sanghamitra was a data scientist at a Accenture where she worked on a wide variety of problems related data modeling, architecture and visual story telling. She is an avid fan of python and has been programming for more than a decade. Trained as an astrophysicist (she holds a PhD in physics) she uses her analytical mind to not only work in a range of domains such as: education, healthcare and recruitment but also in her leadership style. She mentors junior data scientists at her current organization and coaches students from various field to transition into Data Science. Sanghamitra enjoys addressing technical and non-technical audiences at conferences and encourages women into joining tech careers. She is passionate about diversity and has organized Women In Data Science meetups.