How Mistral improves a vision-language model for satellite imagery by fine-tuning Pixtral-12B
Unlocking the potential of vision language models on satellite imagery through fine-tuning
What happened
Mistral fine-tuned Pixtral-12B with LoRA for satellite-image classification on the Aerial Image Dataset (AID), substantially outperforming the untuned baseline and improving discrimination between easily confused categories such as dense versus medium residential areas and playgrounds versus stadiums.
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