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资源简介：
Images catalogued for DL Stellar Classification
为深度学习（Deep Learning）恒星分类编目的图像
应用场景：
创建时间：
2025-11-17
相关数据集
Galaxy Zoo DECaLS: Trained Representations
These representations predate Zoobot 2.0 - you may find better performance with those more recent models. See the Zoobot github repository and HuggingFace. Image representations are lower-dimensional
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Euclid Quick Data Release (Q1): First visual morphology catalogue
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Deep Learning Assessment of galaxy morphology in S-PLUS DataRelease 1
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
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SDSS Galaxy Subset
The Sloan Digital Sky Survey (SDSS) is a comprehensive survey of the northern sky. This dataset contains a subset of this survey, of 100077 objects classified as galaxies, it includes a CSV file with
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Digital Assets for "Morphological Parameters and Associated Uncertainties for 8 Million Galaxies in the Hyper Suprime-Cam Wide Survey"
These are morphological catalogs and trained GaMPEN models for Hyper Suprime-Cam galaxies. Please refer to https://gampen.readthedocs.io/en/latest/Public_data.html and https://arxiv.org/abs/2212.00051
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