Update README.md

README.md

@@ -31,10 +31,24 @@ Greetings fellow fastlearner 🤝! Don't forget to delete this content from your
 # Model card
 
 ## Model description
-More information needed
+This is an image categorization model that uses restnet-50 as the base model to classify diabetic retinopathy
 
 ## Intended uses & limitations
-More information needed
+Given an image taken using fundus photography
+this model will identify diabetic retinopathy on a scale of 0 to 4:
+
+    0 - No DR
+
+    1 - Mild
+
+    2 - Moderate
+
+    3 - Severe
+
+    4 - Proliferative DR
+
 
 ## Training and evaluation data
-More information needed
+* We trained our model with retina images taken using fundus photography under a variety of imaging conditions.
+* The training data was gathered for a Kaggle completion by the Asia Pacific Tele-Ophthalmology Society (APTOS) in 2019
+* [Training data](https://www.kaggle.com/competitions/aptos2019-blindness-detection/data)