Update README.md

Added link to Figure S1

README.md

@@ -114,7 +114,7 @@ To increase the size and diversity of the training dataset (originally 295 image
 We developed 12 target classes, or trait masks, for our segmentation problem, each representing different morphological traits of a fish specimen. 
 The segmentation classes are: dorsal fin, adipose fin, caudal fin, anal fin, pelvic fin, pectoral fin, head minus the eye, eye, caudal fin-ray, alt fin-ray, alt fin-spine, and trunk. 
 Although minnows do not have adipose fins, the segmentation model was trained on a variety of fish image data, some of which had adipose fins. 
-We retained this class because the segmentation model may erroneously assign an adipose fin to a minnow (Fig. S1), and a domain scientist examining these outputs may want to analyze the accuracy of the model.
+We retained this class because the segmentation model may erroneously assign an adipose fin to a minnow ([Fig. S1](https://huggingface.co/imageomics/BGNN-trait-segmentation/blob/main/Fig_S1.png)), and a domain scientist examining these outputs may want to analyze the accuracy of the model.
 
 The training dataset utilized the image files listed in [training_dataset_INHS.txt](https://huggingface.co/imageomics/BGNN-trait-segmentation/blob/main/training_dataset_INHS.txt).