February 26-28, 2020
Montreal, Canada
Create an object detection model for your application
Object Detection has become very popular during the last few years. It may look complex from afar,How to train a model on my own dataset ? How do I label data? Which architecture should I choose ? What are the standard metrics to evaluate my model ? How to deploy my model ?
In this talk, we will go over a concrete example to present the typical journey to deploy an object detection application in python and answers those questions and many more.
In this talk, we will go over a concrete example to present the typical journey to deploy an object detection application in python and answers those questions and many more.
Jacques-Sylvain Lecointre
Mnubo
I am Data Scientist at Mnubo , focused on delivering data analytics solutions in the IoT domain with a deep interest for topics like Computer vision.I have an engineering background in telecommunications and evolved towards data science activities.My main goal is to derive actionnable insights from the data generated by IoT connected devices.
Montreal 2020 sponsored by
