Update README.md

README.md

@@ -23,7 +23,7 @@ annotations_creators:
 A large-scale instance segmentation dataset of nearly 64k annotated spacecraft images that was created using real spacecraft models, superimposed on a mixture of real and synthetic backgrounds generated using NASA's TTALOS pipeline. To mimic camera distortions and noise in real-world image acquisition, we also added different types of noise and distortion to the images.
 
 ## Dataset Summary
-The dataset contains over 64,000 annotated images with instance masks for varied spacecraft. It's structured for YOLO and segmentation applications, and chunked to stay within Hugging Face's per-folder file limits.
+The dataset contains over 63,917 annotated images with instance masks for varied spacecraft. It's structured for YOLO and segmentation applications, and chunked to stay within Hugging Face's per-folder file limits.
 
 
 ## How to Use
@@ -33,12 +33,13 @@ Due to Hugging Face Hub's per-directory file limit (10,000 files), this dataset
 
 **Example Structure:**
 
-labels/
-  ├── 000/
-  │   ├── img_0.png
-  │   └── ...
-  ├── 001/
-  └── ...
+    labels/
+      ├── 000/
+      │   ├── img_0.png
+      │   └── ...
+      ├── 001/
+      └── ...
+      
 If you're using models/tools like **YOLO** or others that expect a **flat directory**, you may need to **merge these subfolders at load-time or during preprocessing**.