Tensorflow Object Detection in 5 Hours with Python

Want to get up to speed on AI powered Object Detection but not sure where to start?

Want to start building your own deep learning Object Detection models?

This is the course you need!

In this course, you’ll learn everything you need to know to go from beginner to practitioner when it comes to deep learning object detection with Tensorflow. This course mainly revolves around Python but there’s a little Javascript thrown in as well when it comes to building a web app in Project 2. But don’t fret we’ll take it step by step so you can take your time and work through it. All the code it made available through GitHub, links below.

Chapters:

  • 0:00 – Start
  • 12:13 – SECTION 1: Installation and Setup
  • 26:34 – Cloning the Baseline Code from GitHub
  • 27:59 – Creating a Virtual Environment
  • 39:57 – SECTION 2: Collecting Images and Labelling
  • 44:48 – Collecting Images Using Your Webcam
  • 1:04:11 – Labelling Images for Object Detection using LabelImg
  • 1:29:08 – SECTION 3: Training Tensorflow Object Detection Models
  • 1:34:04 – Tensorflow Model Zoo
  • 1:39:04 – Installing Tensorflow Object Detection for Python
  • 1:56:41 – Installing CUDA and cuDNN
  • 2:06:42 – Using Tensorflow Model Zoo models
  • 2:09:21 – Creating and Updating a Label Map
  • 2:10:09 – Creating TF Records
  • 2:17:23 – Training Tensorflow Object Detection Models for Python
  • 2:27:48 – Evaluating OD Models (Precision and Recall)
  • 2:29:08 – Evaluating OD Models using Tensorboard
  • 2:34:07 – SECTION 4: Detecting Objects from Images and Webcams
  • 2:34:52 – Detecting Objects in Images
  • 2:38:57 – Detecting Objects in Real Time using a Webcam
  • 2:41:56 – SECTION 5: Freezing TFOD and Converting to TFJS and TFLite
  • 2:42:25 – Freezing the Tensorflow Graph
  • 2:44:17 – Converting Object Detection Models to Tensorflow Js
  • 2:45:27 – Converting Object Detection Models to TFLite
  • 2:47:45 – SECTION 6: Performance Tuning to Improve Precision and Recall
  • 3:12:34 – SECTION 7: Training Object Detection Models on Colab
  • 3:24:05 – SECTION 8: Object Detection Projects with Python
  • 3:25:25 – Project 1: Detecting Object Defects with a Microscope
  • 3:57:34 – Project 2: Web Direction Detection using Tensorflow JS
  • 4:47:40 – Project 3: Sentiment Detection on a Raspberry Pi Using TFLite

Frank

#DataScientist, #DataEngineer, Blogger, Vlogger, Podcaster at http://DataDriven.tv . Back @Microsoft to help customers leverage #AI Opinions mine. #武當派 fan. I blog to help you become a better data scientist/ML engineer Opinions are mine. All mine.