Previously, the steps of image upload, training, model updates, and inference were separate processes. In the inference stage, the model is updated with the newly trained data.This separation ensures that the model learns to distinguish between the default items and any newly added products.The training data consists of images of baguettes and croissants, which are kept separate from other products.This step enables the app to handle additional image data. ![]()
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