Update README.md

README.md

@@ -7,7 +7,7 @@ size_categories:
 task_categories:
 - image-classification
 task_ids: []
-pretty_name: indoorCVPR_09
+pretty_name: IndoorSceneRecognition
 tags:
 - fiftyone
 - image
@@ -52,9 +52,9 @@ dataset_summary: >
 
   # Note: other available arguments include 'max_samples', etc
 
-  dataset = fouh.load_from_hub("NeoKish/indoorCVPR_09")
+  dataset = fouh.load_from_hub("Voxel51/IndoorSceneRecognition")
 
-  # dataset = fouh.load_from_hub("NeoKish/indoorCVPR_09", max_samples=1000)
+  # dataset = fouh.load_from_hub("Voxel51/IndoorSceneRecognition", max_samples=1000)
 
 
   # Launch the App
@@ -64,7 +64,7 @@ dataset_summary: >
   ```
 ---
 
-# Dataset Card for indoorCVPR_09
+# Dataset Card for IndoorSceneRecognition
 
 The database contains 67 Indoor categories, and a total of 15620 images. The number of images varies across categories, but there are at least 100 images per category. All images are in jpg format. 
 
@@ -92,7 +92,7 @@ import fiftyone.utils.huggingface as fouh
 
 # Load the dataset
 # Note: other available arguments include 'max_samples', etc
-dataset = fouh.load_from_hub("NeoKish/indoorCVPR_09")
+dataset = fouh.load_from_hub("Voxel51/IndoorSceneRecognition")
 
 # Launch the App
 session = fo.launch_app(dataset)
@@ -128,7 +128,7 @@ Foundation Career award (IIS 0747120)
 ## Dataset Structure
 
 ```plaintext
-Name:        indoorCVPR_09
+Name:        IndoorSceneRecognition
 Media type:  image
 Num samples: 15620
 Persistent:  False