Jul 5, 2021
A fake radio galaxy generated by running a DCGAN in Google Colab with Pytorch using the FRDEEP dataset. It’s not very impressive but it took a lot to get here!
seen from T1
seen from Australia
seen from Serbia
seen from China
seen from Italy
seen from Germany
seen from Malaysia
seen from Germany
seen from Germany
seen from Australia
seen from Hong Kong SAR China
seen from United States
seen from Argentina
seen from Canada
seen from Lebanon
seen from Canada
seen from Brazil
seen from Japan
seen from United Kingdom
seen from Brazil
A fake radio galaxy generated by running a DCGAN in Google Colab with Pytorch using the FRDEEP dataset. It’s not very impressive but it took a lot to get here!
DATASET: FR DEEP
The FR-DEEP Batched Dataset is a dataset of labeled radio galaxies suitable for use with deep learning algorithms. The labels for the samples are compiled from the FRICAT and CoNFIG catalogs. Each sample is classified as either Fanaroff-Riley Class I (FRI) or Class II (FRII). This dataset forms the base training data for the paper Transfer Learning for Radio Galaxy Classification.
Transfer learning for radio galaxy classification, Tang H., Scaife A. M. M., Leahy J. P., 2019, arXiv:1903.11921
https://github.com/HongmingTang060313/FR-DEEP