update

README.md

@@ -77,43 +77,42 @@ You can utilize the dataset with YOLOv models for object detection tasks. The cl
 
 Make sure to follow the appropriate implementation guidelines and examples for YOLOv models to leverage this dataset effectively.
 
-## loading the Dataset
-'''
+```python
 # Load the dataset
-hf_dataset = load_dataset("Falah/wheel-chair-images-annotation4object-detec", split="train")
-
+hf_dataset = load_dataset("your_dataset_name", split="train")
 # Accessing image
 image = hf_dataset[1]['image']
-
 # Display the image
 image.show()
-
 # Accessing label and bounding box coordinates
 instances = hf_dataset[1]['instances']
 for instance in instances:
     label = instance['label']
     box = instance['box']
-
     # Get the class name for the label
     class_name = hf_dataset.features['instances']['label'].int2str(label)
     print(f"Label: {class_name}")
     print(f"Bounding Box: {box}")
+```
+## Citation
 
-'''
-
-## Dataset Citation
-
-If you use this wheelchair dataset for object detection in your work, please cite it using the following template:
+If you use this dataset in your research or any other work, please consider citing it as:
 
 ```
-@dataset{falah_salieh_wheelchair_dataset_2023,
-  author = {Falah G. Salieh},
+@dataset{wheel-chair-images-annotation4object-detec_dataset,
+  author = {Falah.G.Salieh},
   title = {Wheelchair Dataset for Object Detection},
   year = {2023},
-  publisher = {Huggingface.co},
-  url = {\url{https://huggingface.co/datasets/Falah/wheel-chair-images-annotation4object-detec}},
+  publisher = {Hugging Face},
+  version = {1.0},
+  location = {Online},
+  url = {Falah/wheel-chair-images-annotation4object-detec}
 }
 ```
 
+## License
+
+Wheelchair Dataset for Object Detection Dataset is provided under the Apache-2.0 license.
+
 
----
+```