Update README.md

README.md

@@ -41,7 +41,8 @@ pipeline_tag: image-classification
 
 # vit-base-patch16-224-in21k_covid_19_ct_scans
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k).
+
 It achieves the following results on the evaluation set:
 - Loss: 0.1727
 - Accuracy: 0.94
@@ -63,6 +64,10 @@ This model is intended to demonstrate my ability to solve a complex problem usin
 
 Dataset Source: https://www.kaggle.com/datasets/luisblanche/covidct
 
+_Sample Images From Dataset:_
+
+![Sample Images](https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/raw/main/Computer%20Vision/Image%20Classification/Binary%20Classification/COVID19%20Lung%20CT%20Scans/Images/Sample%20Images.png)
+
 ## Training procedure
 
 ### Training hyperparameters