Train your own custom object detection model with Tensorflow 2! Choose any object you like and follow along with this tutorial! After watching this, you'll be able to train your own model either in the cloud using Google Colab or on your PC.
*Chapters:*
00:00 - Intro
*Prep Work*
00:51 - Prepare images
07:40 - XML to CSV
09:06 - Generate TF records
12:38 - Download a base model
14:50 - Edit model config file
19:40 - Make a labelmap.pbtxt
*Local PC Training*
21:57 - Start training
26:35 - Tensorboard (kind of)
*Google Colab Training*
29:31 - Intro to Colab
30:55 - Run TF code blocks
32:02 - Use Kaggle to get our data
36:25 - TF records and config file
41:13 - Another more different tensorboard
41:45 - Start the training
* Using the New Model*
44:35 - Export inference graph
49:50 - Resume training from checkpoint
51:56 - Use new model
56:26 - Outro
Code used in this tutorial: https://github.com/Bengemon825/Tensorflow-Object-Detection-with-Tensorflow-2.0
Original inspiration: https://github.com/TannerGilbert/Tensorflow-Object-Detection-with-Tensorflow-2.0
