Pico-Banana-400K is a large-scale dataset of ~400K text–image–edit triplets designed to advance research in text-guided image editing. Each example contains:

an original image (from Open Images), a human-like edit instruction, and the edited result generated by Nano-Banana and verified by Gemini-2.5-Pro. The dataset spans 35 edit operations across 8 semantic categories, covering diverse transformations—from low-level color adjustments to high-level object, scene, and stylistic edits

This article will cover the top ten OCR libraries in Python, highlighting their strengths, unique features, and code examples to help you get started.