639 WATs and NATs

The '639 WATs and NATs' dataset contains labeled examples of wide-angle tail and narrow-angle tail radio active galactic nuclei, used to evaluate a semi-supervised deep learning model for classifying bent radio AGNs.

Papers using 639 WATs and NATs (1)

RGC: a radio AGN classifier based on deep learning. I. A semi-supervised model for the VLA images of bent radio AGNs2025