Tensorflow 2 Custom Object Detection Model Google Colab and Local PC

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=8ktcGQ-XreQ

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. • Other videos in this series: • • Tensorflow 2 Object Detection • Code used in this tutorial: https://github.com/Bengemon825/Tensor... • Original inspiration: https://github.com/TannerGilbert/Tens... • 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

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