update model card README.md

README.md

@@ -1,6 +1,7 @@
 ---
 license: apache-2.0
 tags:
+- image-classification
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -13,7 +14,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: imagefolder
+      name: defect
       type: imagefolder
       config: Dhika--Leaves
       split: validation
@@ -29,7 +30,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # leaves
 
-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) on the defect dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0012
 - Accuracy: 1.0