Published June 4, 2023 | Version v1

Dataset for: AutoSourceID-FeatureExtractor

Authors/Creators

  • 1. Radboud University

Description

This is the dataset used in the paper AutoSourceID-FeatureExtractor (paper) for Training, Test and Validation sets. AutoSourceID-FeatureExtractor (ASID-FE) is an innovative framework that uses deep learning to estimate the flux and sub-pixel centre coordinates of sources in MeerLICHT/BlackGEM images. 

The two files contain the 34x34 source patches and the associated catalogues.

If you use the dataset, please cite the appropriate DOIs.

Code available at https://github.com/FiorenSt/AutoSourceID-FeatureExtractor  

Files

Files (16.1 GB)

Name Size
md5:307be1abef6420e5056820b3286a17c0
169.6 MB Download
md5:b21960bcaac5d4ddc3a1334dcc0352a0
15.9 GB Download