Choose an object detection model architecture for Raspberry Pi

In machine learning, there’s often a trade-off between accuracy and inference speed. In this video, we’ll compare models in the EfficientDet-Lite model family running on Raspberry Pi to help you choose the one that best meets your needs.

00:00 Introduction
00:14 Relationship between accuracy and inference speed
00:58 EfficientDet-Lite for edge-devices
1:41 Comparing the EfficientDet-Lite model family
2:45 Using EfficientDet-Lite
5:13 Comparing EfficientDet-Lite2 with EfficientDet-Lite0
6:03 Other models to check out
6:27 What’s next

TensorFlow Lite object detection models on TensorFlow Hub → https://goo.gle/3Evt6PL
Introduction to object detection on Raspberry Pi → https://goo.gle/3puXvaF
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;

Source of this TensorFlow AI Video

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