WT-MM
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vit-base-blur

Image Classification

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WT-MM commited on Jul 5, 2023

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c059546

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1 Parent(s): e763e59

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@@ -13,8 +13,8 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: imagefolder
-      type: imagefolder
       config: default
       split: train
       args: default
@@ -29,7 +29,7 @@ should probably proofread and complete it, then remove this comment. -->
 # vit-base-blur
-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.
 It achieves the following results on the evaluation set:
 - Loss: 0.0007
 - Accuracy: 1.0

       name: Image Classification
       type: image-classification
     dataset:
+      name: blurryimages
+      type: blurryimages
       config: default
       split: train
       args: default
 # vit-base-blur
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on a blurry images dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0007
 - Accuracy: 1.0