Lab · 4 min read
Personalizing a model on twelve images
How few-shot fine-tuning learns a subject from a tiny, careful dataset.
Noetic Lab
Less data, chosen well
You don't need thousands of images to teach a model a specific person, product or style. Twelve well-chosen frames — varied in pose, light and distance — are usually enough to learn a durable concept.
The work is in curation, not volume: redundant angles teach nothing, while a spread of conditions teaches the model what stays constant and what is free to change.