Update README.md

README.md

@@ -13,6 +13,8 @@
 <!-- Provide a longer summary of what this dataset is. -->
 In Tiny ImageNet, there are 100,000 images divided up into 200 classes. Every image in the dataset is downsized to a 64×64 colored image. For every class, there are 500 training images, 50 validating images, and 50 test images.
 
+- **License:** MIT License
+
 ### Dataset Sources
 
 <!-- Provide the basic links for the dataset. -->
@@ -24,7 +26,7 @@ In Tiny ImageNet, there are 100,000 images divided up into 200 classes. Every im
 
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
 
-Total images: 100,000
+Total images: 120,000
 
 Classes: 200 categories