https://github.com/poppingtonic/semisupervised-rice-africa/blob/main/T-SNE%20Visualisation.ipynb

I wanted to understand what the contribution of the RGN images was to the performance of the model, if they were harder to classify for my self-supervised encoder. Here I show a T-SNE visualization of the encoder on both image types, for the class labels.