Deep Learning Assessment of galaxy morphology in S-PLUS DataRelease 1
收藏NIAID Data Ecosystem2026-03-12 收录
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Deep Learning models used in the paper “Deep Learning Assessment of galaxy morphology in S-PLUS DataRelease 1 “. We share the .h5 Deep Learning models trained using S-PLUS.: EfficientNetB2 (3 Bands – pretrained), EfficientNetB2 (5 Bands), EfficientNetB2 (8 Bands), EfficientNetB2 (12 Bands) We release the catalog of our three samples: The Train and Validation, Ambiguous and Blind samples.
创建时间：
2021-06-02
