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ASCL Code Record

[ascl:2101.007] Mask galaxy: Machine learning pipeline for morphological segmentation of galaxies

Mask galaxy is an automatic machine learning pipeline for detection, segmentation and morphological classification of galaxies. The model is based on the Mask R-CNN Deep Learning architecture. This model of instance segmentation also performs image segmentation at the pixel level, and has shown a Mean Average Precision (mAP) of 0.93 in morphological classification of spiral or elliptical galaxies.

Code site:
https://github.com/hfarias/mask_galaxy
Described in:
https://ui.adsabs.harvard.edu/abs/2020A%26C....3300420F
Bibcode:
2021ascl.soft01007F

Views: 598

ascl:2101.007
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