Build and deploy custom object detection model with TensorFlow Lite | Workshop

A common application of machine learning is object detection, where the model is able to determine bounding boxes around instances of that item in the image. Imagine a model that can count the number of birds in your garden and show you where they are.

In this Workshop, you learn how to train a custom object detection model and deploy it to an Android app in just a few lines of code. All you need are Android Studio and a web browser. No machine learning knowledge is required.

Resources:
Codelab → https://goo.gle/3vsSi4w

Speaker: Khanh LeViet

Watch more:
TensorFlow at Google I/O 2021 Playlist → https://goo.gle/io21-TensorFlow-1
All Google I/O 2021 Workshops → https://goo.gle/io21-workshops
All Google I/O 2021 Sessions → https://goo.gle/io21-allsessions

Subscribe to TensorFlow → https://goo.gle/TensorFlow

#GoogleIO #AI/ML #Android #GooglePlay

product: TensorFlow – General, Android – Android Studio; event: Google I/O 2021; fullname: Khanh LeViet; re_ty: Livestream;

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