README formatting updates

README.md

@@ -54,14 +54,22 @@ configs:
     path: data/validation-*
 ---
 
-# DISCOVR: Virtual Reality UI Object Detection Dataset
+# DIgitial Social Context Objects in VR (DISCOVR): A Social Virtual Reality Object Detection Dataset
 
 ## Dataset Description
 
-DISCOVR is an object detection dataset for identifying user interface elements and interactive objects in virtual reality (VR) and social VR environments. The dataset contains **17,691 annotated images** across **30 object classes** commonly found in VR applications.
+DISCOVR is an object detection dataset for identifying user interface elements and interactive objects in virtual reality (VR) and social VR environments. The dataset contains **17,691 annotated images** across **30 object classes** commonly found in 17 top social VR applications & VR demos.
 
 This dataset is designed to support research in VR accessibility, automatic UI analysis, and assistive technologies for virtual environments.
 
+### Everything is available to download at once at https://huggingface.co/datasets/UWMadAbility/DISCOVR/blob/main/dataset.zip
+
+### Pretrained YOLOv8 weights are available at https://huggingface.co/UWMadAbility/VRSight
+
+### If you use DISCOVR in your work, please cite VRSight using the citation at the bottom of this readme.
+
+---
+
 ### Dataset Summary
 
 - **Total Images:** 17,691
@@ -134,6 +142,8 @@ Annotations are in YOLO format with normalized coordinates:
 
 All coordinates are normalized to [0, 1] range relative to image dimensions.
 
+---
+
 ## Usage
 
 ### With Hugging Face Datasets
@@ -248,6 +258,8 @@ inputs = processor(images=sample['image'], return_tensors="pt")
 # COCO: (x_min, y_min, width, height) in pixels
 ```
 
+---
+
 ## Applications
 
 This dataset can be used for: