Effective Data Augmentation for OCR
My recipe to reach those last percents of (ac)cu(re)teness- 28179Murphy ≡ DeepGuide
OCR-Free Document Data Extraction with Transformers (1/2)
Donut versus Pix2Struct on custom data- 26945Murphy ≡ DeepGuide
OCR-Free Document Data Extraction with Transformers (2/2)
Donut versus Pix2Struct on custom data- 22211Murphy ≡ DeepGuide
From Paper to Pixel: Evaluating the Best Techniques for Digitising Handwritten Texts
We used the OCR, Transformer, and ensemble techniques to find the balance between accuracy, cost, and complexity of text digitisation- 29136Murphy ≡ DeepGuide
How to Effortlessly Extract Receipt Information with OCR and GPT-4o mini
Utilize OCR and the powerful GPT-4o mini model to perform information extraction on receipts- 25751Murphy ≡ DeepGuide
Scalable OCR Pipelines using AWS
A survey of 3 different OCR pipeline patterns and their pros and cons- 23712Murphy ≡ DeepGuide
How Did Open Food Facts Fix OCR-Extracted Ingredients Using Open-Source LLMs?
Delve into an end-to-end Machine Learning project to improve the quality of the Open Food Facts database- 21151Murphy ≡ DeepGuide
Let's Learn a Little About Computer Vision via Sudoku
Solving Sudoku is a fun challenge for coding, and adding computer vision to populate the puzzle ties this with a popular ML technique- 22973Murphy ≡ DeepGuide
The Invisible Bug That Broke My Automation: How OCR Changed The Game
The evolution of AI in test automation: from locators to generative AI (Part 3)- 29678Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag