Custom Object Detection Android App Using TensorFlow Lite(GPU) and OpenCV: Sample 1 | Vegetables
In this tutorial series, we will do three things:
1. Train the model on custom objects.
2. Convert the model checkpoint to the Tflite model.
3. Interface the Tflite model with the Android App.
This video is the first example of custom object detection. Here I am using 5 vegetables as a custom object (Tomato, Onion, Garlic, Capsicum, Potato).
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