Update README.md

README.md

@@ -8,7 +8,7 @@ library_name: keras
 
 ## Model description
 
-This repo contains the trained model Self-supervised contrastive learning with SimSiam on Cifar 10 Dataset.
+This repo contains the trained model Self-supervised contrastive learning with SimSiam on CIFAR-10 Dataset.
 Keras link: https://keras.io/examples/vision/simsiam/
 
 Full credits to https://twitter.com/RisingSayak
@@ -19,7 +19,7 @@ The trained model can be used as a learned representation for downstream tasks l
 
 ## Training and evaluation data
 
-Original Cifar 10 train & test dataset were loaded from tensorflow datasets.
+The dataset we are using here is called CIFAR-100. The CIFAR-10 dataset consists of 60000 32x32 color images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
 
 Two particular augmentation transforms that seem to matter the most are: 
 - Random resized crops