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In this tutorial, the focus is on text recognition using TensorFlow and the CTC Network. Extracting text of varying sizes, shapes, and orientations from images is crucial for applications in augmented reality, e-commerce, and social media moderation. The tutorial outlines two main methods for text extraction: the first involves localizing text in images with text detectors or segmenters, which is a straightforward approach. The second method is more complex, involving training a model that combines text localization and recognition as a single process. However, this tutorial will concentrate specifically on the word extraction aspect of the OCR pipeline to maintain efficiency and clarity.
