---
license: apache-2.0
task_categories:
- image-segmentation
pretty_name: IPL-CARLA-dataset
size_categories:
- n<1K
tags:
- image
- image-segmentation
annotations_creators:
- CARLA simulator
---


# IPL-CARLA-dataset

Autonomous driving semantic segmentation dataset created with CARLA (Cars Learning to Act) simulator.

## 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.

## 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.