
Accelerating science with 'off-the-shelf' models
A visual guide on how foundation models enhance computer vision research with small datasets.
Data Points showcases the work of Penn’s data science community through concise, engaging articles. Each post takes a complex idea and transforms it into accessible insights in creative and compelling ways—whether through a high-level walkthrough of a key figure, or an interactive, explorable explanation.
Interested in contributing? We can help with technical and editorial guidance so your post is as impactful and polished as the research it represents. Check out How to Contribute - we’re excited to collaborate and help bring your ideas to life!
A visual guide on how foundation models enhance computer vision research with small datasets.
An interactive tutorial about decomposing variation into distinctions worth making.
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Contact us at sas-ddd-admin@sas.upenn.edu with subject line “Data Points submission” to discuss your ideas or submit a proposal. We look forward to featuring your work!
For more details, check out our Contributor Guide.
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