| # Oxford Pets Models | |
| Contains the two models for Oxford Pets. | |
| One is a self-trained image classifier, the other is a self-trained image masker. | |
| The ensemble combination of these models is a simple single-object semantic segmentation model. | |
| They had around 67% accuracy, and 58% accuracy respectively. | |
| Because they were not fine-tuned and trained for such few epochs, these are actually quite solid results. | |
| Further training will update these results. |