Unlocking VLM Potential on Satellite Imagery Through Fine-Tuning
Mistral AI News·6 days ago·Tutorial
Mistral AI demonstrates how LoRA fine-tuning adapts Pixtral-12B to satellite imagery, a specialized visual domain where prompting alone is unreliable. Using the Aerial Image Dataset, the post compares a prompt-based baseline against a fine-tuned model across 30 scene classes. Accuracy rose from 0.56 to 0.91, while invalid label hallucinations dropped from 5% to 0.1%.
