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;