isi-mube/Cosmic-Morphology
Computer Vision project to recognize cosmic data (asteroid, comet, galaxy, nebula, planet, star) using NASA API to get images, ResNet50 as base model & PyTorch.
This project helps astronomers, astrophysicists, and space enthusiasts automatically identify celestial objects in images. It takes raw cosmic image data, primarily from NASA, and classifies it into categories like asteroids, comets, galaxies, nebulae, planets, or stars. The output is an identified celestial object, streamlining the process of cataloging and studying cosmic phenomena.
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Use this if you need an automated way to classify various types of cosmic bodies from astronomical images.
Not ideal if you require highly precise, high-stakes classification for cutting-edge research, as it notes challenges with noisy data and class imbalances.
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Last pushed
Mar 07, 2025
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