New Tutorial ✍🏼: TrOCR – Getting Started with Transformer Based OCR

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Hello trend,

This is Satya Mallick from LearnOpenCV.com.

Optical Character Recognition (OCR) has seen several innovations over the years. Its impact on retail, healthcare, banking, and many other industries has been immense. Today, we have models like TrOCR (Transformer OCR) which truly surpass the previous techniques in terms of accuracy.

In today's article, we will cover the introduction of TrOCR and focus on four topics:

• What is the architecture of TrOCR?
• What models does the TrOCR family include?
• How were the TrOCR models pretrained?
• How to run inference using TrOCR and Hugging Face?

TrOCR - Getting Started with Transformer Based OCR

The accompanying code for the blog post can be found here:

Download Code

If you want to learn more about Transformers, Text Detection, and OCR, I'm sharing a list of resources that might be helpful for you:

• ​Optical Character Recognition using PaddleOCR​
• ​Automatic License Plate Recognition using Deep Learning​​
• ​Understanding the Attention Mechanism in Transformers​
• ​Implementing Vision Transformers in PyTorch​​

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If you are planning to get into AI, this is the perfect time to get these courses.

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• ​💰 Second and more importantly, you get a discount of 20% with coupon code LEARN-AI.

Note that the offer will expire on midnight Friday, 1st September 2023.

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Cheers,

Satya

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