update col name

README.md

@@ -55,11 +55,19 @@ The dataset consists of 6 columns:
 + `image`: Image data in the form of PIL Image.
 + `label_cat_dog`: Label for the image, whether it is a cat or a dog. Provided by the authors of the original dataset.
 + `label_breed`: Label for the breed of the cat or dog in the image. Consists of 37 pet breeds of cats and dogs. Provided by the authors of the original dataset.
-+ `labels_bbox_enriched`: Enriched labels for the image. Consists of bounding box coordinates, confidence score and label for the bounding box. Generated by in-house and customized YOLOv8 model.
++ `label_bbox_enriched`: Enriched labels for the image. Consists of bounding box coordinates, confidence score and label for the bounding box. Generated by in-house and customized YOLOv8 model.
 + `caption_enriched`: Enriched captions for the image. Generated by BLIP2 captioning model.
 
+## Usage
+This dataset can be used with the Hugging Face Datasets library.:
+```python
+import datasets
+ds = datasets.load_dataset("dnth/pets-enriched")
+```
 
-Visualize this dataset interactively [here](https://app.visual-layer.com/vl-datasets). No sign-up required.
+## Interactive Visualization
+Visual Layer provides a platform to interactively visualize the dataset.
+Check it out [here](https://app.visual-layer.com/vl-datasets). No sign-up required.
 
 
 <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/6195f404c07573b03c61702c/ik52fzk8FqeHNP2K2_ARM.mp4"></video>