liwenxi/SWIFT-AI

Health v2 · maintenance only

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1334 stars · 176 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

SWIFT-AI is a deep learning system for extremely fast gigapixel-level visual understanding in scientific applications, such as detecting strong gravitational lenses for the LSST project. It includes models, code, and links to gigapixel datasets like PANDA.

Use cases

• process gigapixel images with deep learning
• detect strong gravitational lenses in astronomy surveys
• analyze large field-of-view scientific imagery
• run object detection on gigapixel video like PANDA
• speed up visual understanding of huge scientific images

When to choose

• you need to analyze gigapixel-scale images or video quickly
• you work in astronomy or scientific imaging with very large fields of view
• you want a research-ready pipeline with pretrained models and datasets

When to avoid

• you only need standard-resolution image processing
• you need a production-grade supported product rather than research code
• you work outside Python/GPU environments

Facets

library · maturity active

computer-vision image-processing deep-learning machine-learning computer-vision artificial-intelligence astronomy data-science python gigapixel-imaging scientific-imaging gravitational-lensing visual-understanding jupyter-notebooks gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="liwenxi/SWIFT-AI")