Nowadays, a huge number of implementations of state-of-the-art (SOTA) models and modeling solutions are present for different frameworks like TensorFlow, ONNX, PyTorch, Keras, MXNet, and so on. These models can be used for out-of-the-box inference if you are interested in categories already in the datasets, or they can be embedded to custom business scenarios with minor fine-tuning.
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