Comments about OCR Fine-Tuning: From Raw Data to Custom Paddle OCR Model

3 months ago

i think i latest try kaizen ocr i loved to used paid version also if any one try is good

😊+

0 0

3 months ago

i think new in market name kaizen ocr is prity good for me right now

😊+

0 0

  1
10 months ago

PaddleOCR is a great choice 👍🏼👍🏼👍🏼

😊+

0 0

  1
10 months ago

This was a great read, thanks for putting it out there

😊+

0 0

  1
10 months ago

Thanks! The checkpoint-saving strategy is a great tip

😊+

0 0

  1
10 months ago

Thanks for sharing this great tutorial! I’ve been looking for a structured approach to fine-tuning PaddleOCR, and this really simplifies the process for me. The step-by-step breakdown makes it feel achievable even for someone new to OCR.

😊+

0 0

  1
10 months ago

Clear and practical 👍🏼

😊+

0 0

  1
10 months ago

Thank you Dmitry! This tutorial made learning a custom OCR model much less daunting for me!

😊+

0 0

  1
10 months ago

looking forward to testing

😊+

0 0

11 months ago

The way you explained dataset preparation and configuration files really helped clarify how to handle those tricky parts of the process, thanks

😊+

0 0

11 months ago

Very helpful 👏🏼👏🏼

😊+

0 0

11 months ago

Dmitry, thank you for sharing this detailed guide

😊+

0 0

  1
11 months ago

This answered so many of my questions about OCR training, thanks!

😊+

0 0

How are you guys what can i do here except coding no other work And I am very happy how and how it will benefit me

😊+

0 0

11 months ago

@aiforbreakfast, This comprehensive guide takes you through the entire process of building a custom image recognition AI model using Paddle OCR. From setting up your environment, preparing the data, and finding the perfect pre-trained model, to adjusting the configuration and ultimately training it, your OCR journey reaches its finest result. Get ready to tackle various text recognition projects with confidence!

😊+

0 0

Trending Topics

blockchaincryptocurrencyhackernoon-top-storyprogrammingsoftware-developmenttechnologystartuphackernoon-booksBitcoinbooks