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Adding Object detection using Google ML Kit library in Android Studio | ML Kit & TF Lite 008
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In this video we will use object detection library to detect and classify images.
From Google ML Kit website
With ML Kit's on-device object detection and tracking API, you can detect and track objects in an image or live camera feed.
Optionally, you can classify detected objects, either by using the coarse classifier built into the API, or using your own custom image classification model. See Using a custom TensorFlow Lite model for more information.
Because object detection and tracking happens on the device, it works well as the front end of the visual search pipeline. After you detect and filter objects, you can pass them to a cloud backend, such as Cloud Vision Product Search.
Follow us for updates here:
The Mobile Dev - Twitter
From Google ML Kit website
With ML Kit's on-device object detection and tracking API, you can detect and track objects in an image or live camera feed.
Optionally, you can classify detected objects, either by using the coarse classifier built into the API, or using your own custom image classification model. See Using a custom TensorFlow Lite model for more information.
Because object detection and tracking happens on the device, it works well as the front end of the visual search pipeline. After you detect and filter objects, you can pass them to a cloud backend, such as Cloud Vision Product Search.
Follow us for updates here:
The Mobile Dev - Twitter
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