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


Improving the Livestream Shopping Experience

The motivation behind this blog and project was to see if there was any way to gain additional insights into live streaming data besides viewer count and engagement. Currently, livestreaming platforms offer great tools for identifying subscriptions, purchase history during a stream, and engagement during a stream. However, there is a missed opportunity for more tools for livestreamers to really understand their audience by analyzing the chat log itself.

Empowering influencers with real-time and post-stream analytics from participating customers will let them build more meaningful connections with their community, especially during a time of social isolation. My coworker, Allison Youngdahl…


Disclaimer: This post isn’t meant to be an in-depth explanation of machine or deep learning, but rather, provide a practical guide on setting up object classification for projects. This blog post will cover how to use Fast.AI to build an object classification model. I have written another blog post on how to build a custom, multiple object detection model using TensorFlow’s Object Detection API, which is linked here!

Background

While I was researching how to build custom object detection and classification models for use in a web application, I came across Fast.AI. Eventually, our team ended up using TensorFlow because of…


This post isn’t meant to be an in-depth explanation of machine or deep learning, but rather, provide a practical guide on setting up object detection for projects. This blog post will cover building a custom object detection system using TensorFlow’s Object Detection API. I have written another blog post on how to build a custom, single object classification model using Fast AI, which is linked here!

Multiple Object Detection on a Web Application running on Chrome

This is part one of two on building a custom object detection system for web-based and local applications. The second part is written by…

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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