Update README.md

README.md

@@ -70,4 +70,38 @@ While we strive to generate precise data, all information is presented 'as is' w
 Funded by Grant agreement PID2020-115734RB-C21 "SSL-ADA" and Grant agreement PID2020-115734RB-C22 "PGAS-ADA"
 <img src="MICINN_Gob_AEI_1.jpg" width="300" />
 
-## For more information about our team members and how to contact us, visit our website [https://urbansyn.org](https://urbansyn.org)
+## For more information about our team members and how to contact us, visit our website [https://urbansyn.org](https://urbansyn.org)
+
+## Folder structure and content
+
+- ```rgb```: contains RGB images with a resolution of 2048x1024 in PNG format.
+- ```ss and ss_colour``` : contains the pixel-level semantic segmentation labels in grayscale (value = Class ID) and colour (value = Class RGB) respectivelly in PNG format. We follow the 19 training classes defined on Cityscapes:
+    |      name            | trainId |    color        |
+    |----------------------|---------|-----------------|
+    |  'road'              |     0   |   (128, 64,128) |
+    |  'sidewalk'          |     1   | (244, 35,232) |
+    |  'building'          |     2 | ( 70, 70, 70) |
+    |  'wall'              |     3 | (102,102,156) |
+    |  'fence'             |     4 | (190,153,153) |
+    |  'pole'              |     5 | (153,153,153) |
+    |  'traffic light'     |     6 | (250,170, 30) |
+    |  'traffic sign'      |     7 | (220,220,  0) |
+    |  'vegetation'        |     8 | (107,142, 35) |
+    |  'terrain'           |     9 | (152,251,152) |
+    |  'sky'               |    10 | ( 70,130,180) |
+    |  'person'            |    11 | (220, 20, 60) |
+    |  'rider'             |    12 | (255,  0,  0) |
+    |  'car'               |    13 | (  0,  0,142) |
+    |  'truck'             |    14 | (  0,  0, 70) |
+    |  'bus'               |    15 | (  0, 60,100) |
+    |  'train'             |    16 | (  0, 80,100) |
+    |  'motorcycle'        |    17 | (  0,  0,230) |
+    |  'bicycle'           |    18 | (119, 11, 32) |
+    |  'unlabeled'         |    19 | (  0,  0,  0) |
+- ```panoptic```: contains the instance segmentation of the dynamic objects of the image in PNG format. Each instance is codified using the RGB channels, where RG corresponds to the instance number and B to the class ID. Dynamic objects are Person, Rider, Car, Truck, Bus, Train, Motorcycle and Bicycle.
+- ```bbox2D```: contains the 2D bounding boxes and Instances information for all the dynamic objects in the image up to 110 meters of distance from the camera and bigger than 150 pixels. We provide the annotations in a json file with the next structure:
+  - bbox: provides the bounding box size determined by the top left corner (xMin, yMin) and Bottom right corner (xMax, YMax).
+  - color: corresponds to the colour of the instance in the panoptic instance segmentation map inside panoptic folder.
+  - label: defines the class name
+  - occlusion_percentage: provides the occlusion percentatge of the object. Being 0 not occluded and 100 fully occluded.
+- ```depth```: contains the depth map of the image in EXR format.