I have a image processing deep learning api built on Python 3.7, Keras, Keras-Retinanet and Flask which basically detect object and then predict it's brand. Before training the model currently we manually prepare the dataset. The dataset contains many brands folders having their one product images. Currently I have 30 brands and this will grow with times. So manually preparing dataset is not a scalable solution. Therefore I want to create a Python script which can automate this manual process.
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