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 Malaysia
seen from Israel
seen from United States
seen from United States
seen from Türkiye
seen from United Kingdom
seen from United States
seen from Russia
seen from Russia
seen from Russia
seen from United States
seen from United States
seen from United States
seen from United States
seen from United Kingdom
seen from Netherlands
seen from Russia
seen from India
seen from United States
seen from United States
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