Update README.md

README.md

@@ -1,18 +1,3 @@
-This is a collection of ripe and unripe fruits (mangoes and bananas) in outside lighting and outside conditions.
-- Train - 80% (4k images)
-- Test - 20% (1k images)
-
-Dimensions of image : 640 x 480
-
-The dataset has been collected from Mendeley data: https://data.mendeley.com/datasets/y3649cmgg6/3 (Mango and Banana Dataset (Ripe Unripe) : Indian RGB image datasets for YOLO object detection)
-
-Initially the data was for training YOLO models.
-I have reorganized the data for training using datasets library in python for deep neural networks and transformers.
-
-
-
-
-
 ---
 dataset_info:
   features:
@@ -49,5 +34,35 @@ language:
 - en
 tags:
 - biology
-pretty_name: darth_raider
----
+pretty_name: fruit_ripeness_img
+---
+# Dataset Card for Dataset Name
+
+<!-- Provide a quick summary of the dataset. -->
+
+This is a collection of ripe and unripe fruits (mangoes and bananas) in outside lighting and outside conditions.
+- Train - 80% (4k images)
+- Test - 20% (1k images)
+
+Dimensions of image : 640 x 480
+
+The dataset has been collected from Mendeley data: https://data.mendeley.com/datasets/y3649cmgg6/3 (Mango and Banana Dataset (Ripe Unripe) : Indian RGB image datasets for YOLO object detection)
+
+Initially the data was for training YOLO models.
+I have reorganized the data for training using datasets library in python for deep neural networks and transformers.
+
+
+
+## Dataset Details
+
+## Uses
+
+This dataset is intended for image classification purpose.
+
+## Dataset Card Authors [optional]
+
+Subhajit Chatterjee
+
+## Dataset Card Contact
+
+[email protected]