This post isn’t meant to be an in-depth explanation of machine or deep learning, but rather, a practical guide on setting up object detection for projects. This blog post will cover building a custom object detection system using NVIDIA’s Transfer Learning Toolkit (TLT). It is important to note that training with TLT is only on x86 with an NVIDIA GPU such as a V100; models trained with TLT can be deployed on any NVIDIA platform. I have written other blog posts on how to build an object classification model with Fast.AI

Ronak Bhatia

Engineer (HMC ’19), DJ, DDR Addict, Cheese Aficionado, and Polyglot. Interested in the intersections of technology and society. Views are my own.

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