Introducing TextImage Augmentation for Document Images
What changed
Vision Language Models (VLMs) have an immense range of applications, but they often need to be fine-tuned to specific use-cases, particularly for datasets containing document images, i.e., images with high textual content. In these cases, it is crucial for text and image to interact with each other at all stages of model training, and applying augmentation to both modalities ensures this interaction. To address this need, we introduce a new data augmentation pipeline developed in collaboration with Albumentations AI.
Why it matters
A concrete addition to Practical AI: Tools, Models & Frameworks: it changes what's available to builders today rather than being general commentary.
How it compares
Related prior coverage to compare against:
- Introducing ChatGPT Images 2.0
- The new ChatGPT Images is here
- Introducing vision to the fine-tuning API
Sources
- Introducing TextImage Augmentation for Document Images (huggingface-blog)primary