4 posts found in this category.
Integrate a custom-trained OCR model into browser automation to solve text-based CHALLENGEs. The OCR service, confidence thresholds, and retry logic.
Building an OCR model taught me that the hardest part of machine learning isn't the model - it's the labels. Here's how iterative outlier detection and healthy skepticism got us to 98% accuracy.
Understanding why Convolutional Recurrent Neural Networks with CTC loss became the standard for text recognition. No PhD required - just curiosity about why certain architectures fit certain problems.
Master NumPy array manipulation with this comprehensive cheatsheet. Code examples for creation, indexing, operations, and linear algebra. Quick reference for data scientists.