Update README.md

README.md

@@ -46,7 +46,7 @@ dataset_summary: >
 
   # Note: other available arguments include 'max_samples', etc
 
-  dataset = load_from_hub("pjramg/GMNCSA24-FO")
+  dataset = load_from_hub("Voxel51/GMNCSA24-FO")
 
 
   # Launch the App
@@ -57,7 +57,7 @@ dataset_summary: >
 license: mit
 ---
 
-# Dataset Card for 2025.01.16.10.33.04
+# Dataset Card for Elderly Action Recognition Challenge
 
 This dataset is a modified version of the GMNCSA24 dataset, tailored for video classification tasks focusing on Activities of Daily Living (ADL) and fall detection in older populations. It is designed to support research in human activity recognition and safety monitoring. The dataset includes annotated video samples for various ADL and fall scenarios, making it ideal for training and evaluating machine learning models in healthcare and assistive technology applications.
 
@@ -84,7 +84,7 @@ from fiftyone.utils.huggingface import load_from_hub
 
 # Load the dataset
 # Note: other available arguments include 'max_samples', etc
-dataset = load_from_hub("pjramg/GMNCSA24-FO")
+dataset = load_from_hub("Voxel51/GMNCSA24-FO")
 
 # Launch the App
 session = fo.launch_app(dataset)