Update README.md

README.md

@@ -155,50 +155,31 @@ Object detection in security X-ray scans has advanced significantly in recent ye
 
 ### Dataset Structure
 
-DET-COMPASS is provided in two configurations:
-
-- **default**: The entire dataset is used in a zero-shot setting, where only text labels are available for each object. This configuration is suitable for evaluating open-vocabulary object detectors without access to any visual prototypes.
-- **raxo**: This configuration replicates the setting in the RAXO paper, where a subset of x-ray prototypes for the objects is available. It is intended for experiments that leverage a small number of visual examples per class.
-
-Each sample in the dataset has the following structure:
-
-```json
-{
-  "rgb_image": PIL.Image,                        // loaded RGB image
-  "rgb_width": int,
-  "rgb_height": int,
-  "xray_images": [                               // list of 5 loaded images, order: Colour, Grey, High, Low, Density
-    PIL.Image, PIL.Image, PIL.Image, PIL.Image, PIL.Image
-  ],
-  "xray_width": int,
-  "xray_height": int,
-  "objects": {
-    "rgb_bbox": [ [float, float, float, float], ... ],   // list of [x_min, y_min, width, height]
-    "xray_bbox": [ [float, float, float, float], ... ],  // list of [x_min, y_min, width, height]
-    "categories": [ string, ... ],                       // list of text labels
-    "rgb_visible": [ bool, ... ],                        // list of booleans
-    "xray_visible": [ bool, ... ],                       // list of booleans
-    "dangerous": [ bool, ... ],                          // list of booleans
-    "IN_ids": [ string, ... ],                           // list of ImageNet IDs (may be empty)
-    "WN_ids": [ string, ... ]                            // list of WordNet synset IDs (may be empty)
-  }
-}
-```
-
-- The `xray_images` list always follows this order: **Colour, Grey, High, Low, Density**.
-- All bounding boxes are in `[x_min, y_min, width, height]` format.
-- The `categories` field contains the text label for each object.
-- The `IN_ids` and `WN_ids` fields provide ImageNet and WordNet synset IDs when available.
-- **All lists within the `objects` field are aligned by index:** for any index `i`, the elements `rgb_bbox[i]`, `xray_bbox[i]`, `categories[i]`, `rgb_visible[i]`, `xray_visible[i]`, `dangerous[i]`, `IN_ids[i]`, and `WN_ids[i]` all correspond to the same object instance in the image.
-
-**The repository also includes a `classes.csv` file listing all classes present in the dataset. This file has the following columns:**
-
-- `class`: Class name (string)
-- `IN_id`: ImageNet class ID (string, may be empty)
-- `WN_id`: WordNet synset ID (string, may be empty)
-- `dangerous`: Whether the class is considered dangerous (boolean)
+- 📁 **Low**: Raw 8-bit greyscale data from the scanner’s **low-energy X-ray channel**.
+- 📁 **High**: Raw 8-bit greyscale data from the scanner’s **high-energy X-ray channel**.
+- 📁 **Density**: 8-bit greyscale data representing **inferred material density**, computed by combining the low and high energy channels.
+- 📁 **Grey**: RGB images that blends low and high energy channels with **visual enhancements**. While nominally greyscale, it includes **subtle color details**.
+- 📁 **Colour**: RGB images using a **color palette** to represent material density variations.
+- 📁 **Photo**: RGB images caputred with a RGB camera.
+
+- 📄 **meta.txt**: Original metadata from COMPASS-XP, including:
+    ```
+  basename: Shared ID for each image pair
+  class: Object class
+  instance: An integer identifying the object instance
+  pose: An integer identifying the object pose
+  scan tray: Either A, indicating that the pose was imaged in a weighted tray, or N indicating it was not
+  dangerous: Boolean indicating aviation threat
+  IN_id: ImageNet class ID (if available)
+  WN_id: WordNet synset ID (if available)
+    ```
+- 📄 **rgb_compass.json** and 📄**xray_compass.json**: Bounding box annotations for both the X-ray (Low, High, Density, Grey, Colour), and the RGB (Photo) images.
+    > Note: The category id/name must be retrieved from `meta.txt` (now there is a dummy 1).
+- 📁 **Raxo_splits**: Train/Test splits used in the [RAXO](https://github.com/PAGF188/RAXO) paper, stored in **COCO format** .
+  - 📄 **xray_prot.json**: Used to build the prototypes.
+  - 📄 **xray_1image_test.json**: Used for test.
+  
 
-This structure supports both zero-shot and prototype-based open-vocabulary object detection experiments.
 
 ### Usage