Omkar2118/datasets huggingface dataset:
HERA RFI Detection
Full name: Hydrogen Epoch of Reionization Array (HERA)

This dataset contains simulated and expert-labelled spectrograms from two radio telescopes: the Hydrogen Epoch of Reionization Array (HERA) in South Africa and the Low-Frequency Array (LOFAR) in the Netherlands. These datasets are intended to test radio-frequency interference (RFI) detection schemes.
This entry pertains to the HERA dataset specifically.

The HERA dataset is comprised of:
- 560 Spectrograms and accompanying binary mask information.
- Several copies of this dataset with classes of RFI sources removed for out-of-distribution testing.

This dataset has been preprocessed into 512 x 512 x 1 images. The low number of target pixels (RFI) proportional to the total data volume makes this dataset a useful test for RFI detection schemes in radio astronomy and, more generally, anomaly detection or semantic segmentation methods.

Introducing paper: Learning to detect RFI in radio astronomy without seeing it
LOFAR RFI Detection
Full name: Low-Frequency Array (LOFAR) Radio Frequency Interference Detection

This dataset contains simulated and expert-labelled spectrograms from two radio telescopes: the Hydrogen Epoch of Reionization Array (HERA) in South Africa and the Low-Frequency Array (LOFAR) in the Netherlands. These datasets are intended to test radio-frequency interference (RFI) detection schemes. This entry pertains to the LOFAR dataset specifically.

The LOFAR dataset is comprised of: 
- 7609 Spectrograms and accompanying binary mask information.

This dataset has been preprocessed into 512 x 512 x 1 images. The low number of target pixels (RFI) proportional to the total data volume makes this dataset a useful test for RFI detection schemes in radio astronomy and, more generally, anomaly detection or semantic segmentation methods.

Introducing paper: Learning to detect RFI in radio astronomy without seeing it