Update README.md

README.md

@@ -19,10 +19,10 @@ Autonomous driving semantic segmentation dataset created with CARLA (Cars Learni
 
 ## Dataset information
 
-Images are generated from two different simulated cities. They include different weather (sunny, foggy and rainy) and daytime (morning, day, sunset and night) conditions. It contains 20000 RGB-rendered images and their corresponding ground truth segmented masks. Images and masks have a size of 800 x 600 pixels.
+Images are generated from two different simulated cities. They include different weather (sunny, foggy and rainy) and daytime (morning, day, sunset and night) conditions. It contains 20000 RGB-rendered images and their corresponding ground truth segmented masks. Segmentation ground truth masks have 35 different classes with colors indicated in the dataset_classes.txt file. Images and masks have a size of 800 x 600 pixels.
 
 ## Dataset structure
 
-Images are named as rgb_{1,...20000}.png and their corresponding ground truth are named as seg_{1,...,20000}.png. Due to space constraints the first 10000 (1-10000) images and masks are in the images and labels folders and the last 10000 (10001-20000) are in the images_2 and labels_2 folders.
+Images are named as rgb_{1,...20000}.png and their corresponding ground truth are named as seg_{1,...,20000}.png. Due to space constraints the first 10000 (1-10000) images and masks are in the images and labels folders and the last 10000 (10001-20000) are in the images_2 and labels_2 folders. The complete dataset has a size of 54 Gb.