Custom Object Detection Android App Using TensorFlow Lite(GPU) and OpenCV: Dataset | Part 2
In this video, I will create a dataset of 5 vegetables (Onion, potato, garlic, capsicum, and tomato). Then we will install labelImg and using it we will label all the images in the dataset. After that, we have to split images and XML files into train and test. Using generate_tfrecord.py we will convert train and test images and XML files into the train.record and test.record.
video_to_image.py, generate_tfrecord.py, Dataset, Labelmap, Tfrecord file link: https://www.kaggle.com/pramod722445/c...
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