Update README.md

README.md

@@ -1,37 +1,60 @@
----
-license: cc0-1.0
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': american_football
-          '1': baseball
-          '2': basketball
-          '3': billiard_ball
-          '4': bowling_ball
-          '5': cricket_ball
-          '6': football
-          '7': golf_ball
-          '8': hockey_ball
-          '9': hockey_puck
-          '10': rugby_ball
-          '11': shuttlecock
-          '12': table_tennis_ball
-          '13': tennis_ball
-          '14': volleyball
-  splits:
-  - name: test
-    num_bytes: 90928214
-    num_examples: 1841
-  download_size: 88433178
-  dataset_size: 90928214
-configs:
-- config_name: default
-  data_files:
-  - split: test
-    path: data/test-*
----
+---
+license: cc0-1.0
+dataset_info:
+  features:
+  - name: image
+    dtype: image
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': american_football
+          '1': baseball
+          '2': basketball
+          '3': billiard_ball
+          '4': bowling_ball
+          '5': cricket_ball
+          '6': football
+          '7': golf_ball
+          '8': hockey_ball
+          '9': hockey_puck
+          '10': rugby_ball
+          '11': shuttlecock
+          '12': table_tennis_ball
+          '13': tennis_ball
+          '14': volleyball
+  splits:
+  - name: test
+    num_bytes: 90928214
+    num_examples: 1841
+  download_size: 88433178
+  dataset_size: 90928214
+configs:
+- config_name: default
+  data_files:
+  - split: test
+    path: data/test-*
+---
+
+## Sports Balls Dataset
+
+A labeled image dataset for **sports ball classification**, suitable for computer vision experiments and PyTorch/TensorFlow model training.
+
+* **Number of classes:** 15 (e.g., Football, Basketball, Tennis Ball, Volleyball, etc.)
+* **Data type:** Images in RGB format
+* **Use case:** Train and evaluate image classification models
+* **License:** Public domain / CC0
+
+### Load in Python
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("AIOmarRehan/Sports-Balls")
+print(dataset["train"].features)
+```
+
+**Highlights:**
+
+* Balanced distribution across 15 ball categories
+* Ready-to-use for benchmarking, transfer learning, and educational purposes