Скачать с ютуб Train a custom object detection model using your data в хорошем качестве

Train a custom object detection model using your data

Learn how to train a custom object detection model for Raspberry Pi to detect less common objects like versions of a logo using your own collection of data. 00:00 Introduction 00:49 The 3 steps of training a custom model 01:24 Step 1: Create a training dataset 04:01 Step 2: Train a custom model with TensorFlow Lite Model Maker 09:03 Step 3: Deploy the custom model to Raspberry Pi 11:08 What’s next Colab notebook to train a custom object detection model → https://goo.gle/3ocbqmI Sample app to run the object detection model on Raspberry Pi → https://goo.gle/3GaABw3 Android figurine dataset → https://goo.gle/31DtXPL Explaining “average precision” → https://goo.gle/3lBR5p6 Transfer learning → https://goo.gle/3pBDiAh Responsible AI → https://goo.gle/2QEEuVV Choose an object detection model architecture for Raspberry Pi → https://goo.gle/3lDe9DO Make object detection run faster by using Coral → https://goo.gle/3EuH3xn Watch all Machine Learning for Raspberry Pi videos → https://goo.gle/ML-raspberrypi Subscribe to TensorFlow → https://goo.gle/TensorFlow #TensorFlow #MachineLearning #ML #RaspberryPi #EdgeAI product: TensorFlow - TensorFlow Lite, TensorFlow - General; fullname: Khanh LeViet;