“Pixel based galaxy morphology classification”的版本间差异
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==Introduction== |
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This will update later. |
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This is a project about morphological galaxies classification. The amazing point is that we're researching an algorithm to seperate background and sources for decreasing the pollution. |
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==Dataset== |
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Data comes from Legacy Survey in DECaLS region |
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==Labels== |
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Mike Walmsley trained on DECaLS region with GZD-1/2/5 catalog and GZD-5 class tree with active learning and then form a more confident catalog called catalog_auto. I set a threshold (e.g. 0.5) on each question to split and get labels of each picture. The GZD-5 label tree showed as follows. [[File:GZD-5_Class_tree|thumb]] |
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GZD-5_Class_tree.png |
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==DECaLS introduction== |
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==Out DECaLS introduction== |
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==Architecture== |
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*Simple CNN |
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*Dense Net |
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*Xception |
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==Loss function== |
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*Cross Entropy |
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*Focal loss |
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==Else== |
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Updating.. |
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2022年4月6日 (三) 05:13的版本
Introduction
This is a project about morphological galaxies classification. The amazing point is that we're researching an algorithm to seperate background and sources for decreasing the pollution.
Dataset
Data comes from Legacy Survey in DECaLS region
Labels
Mike Walmsley trained on DECaLS region with GZD-1/2/5 catalog and GZD-5 class tree with active learning and then form a more confident catalog called catalog_auto. I set a threshold (e.g. 0.5) on each question to split and get labels of each picture. The GZD-5 label tree showed as follows.
GZD-5_Class_tree.png
DECaLS introduction
Out DECaLS introduction
Architecture
- Simple CNN
- Dense Net
- Xception
Loss function
- Cross Entropy
- Focal loss
Else
Updating..