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