CRNN_Tensorflow
Visit ToolCRNN_Tensorflow is a TensorFlow implementation for scene text recognition. It uses Convolutional Recurrent Neural Networks (CRNN) for image-based sequence recognition.
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CRNN_Tensorflow is a TensorFlow implementation for scene text recognition. It uses Convolutional Recurrent Neural Networks (CRNN) for image-based sequence recognition.
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CRNN_Tensorflow is a deep neural network implemented in TensorFlow, specifically designed for the task of scene text recognition. This tool leverages Convolutional Recurrent Neural Networks (CRNN) to perform image-based sequence recognition. The architecture comprises a Convolutional Neural Network (CNN) stage responsible for extracting relevant features from input images. Following the CNN, a Recurrent Neural Network (RNN) stage, specifically a Bidirectional Long Short-Term Memory (Bi-LSTM) network, processes these features. The model integrates a Connectionist Temporal Classification (CTC) loss function to enable end-to-end training for sequence labeling tasks.
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