Readme updated

README.md

@@ -5,12 +5,12 @@ language:
   - en
 license: other
 multilinguality: monolingual
-pretty_name: Gilt Posture Recognition Dataset
+dataset_name: Gilt Posture Dataset
 task_categories:
   - object-detection
   - image-classification
 task_ids:
-  - face-detection
+  - object-detection
   - multi-class-image-classification
 tags:
   - animal-behavior
@@ -44,6 +44,15 @@ Below is a histogram showing the distribution of posture classes across the data
 
 ![Class Histogram](assets/class_histogram.png)
 
+## Dataset Description
+
+The total dataset is split randomly into training, validation, and testing sets (0.75:0.15:0.1). The filename of each image and corresponding labels are assigned with date and time of image captured prefixed by pen and camera identity (p1c1_20250108_080409.png == image of pen1 camera1  captured on January 08, 2025 at 08:04:09 o'clock)
+
+- The Color folder contains the color images and corresponding labels. 
+- Depth folder contains the height information of scene from the floor in mm unit and saved as uint16 format. 
+- RGBD folder contains the combined pairs of color and depth images. The normalized height information is added as 4th channel (RGBA).
+- Each folder contains a labels folder for the corresponding labeling information
+
 ## 🧠 Use Cases
 
 - Animal behavior monitoring