The dataset contains two subsets of synthetic, semantically segmented road-scene images, which have been created for developing and applying the methodology described in the paper "A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird’s Eye View" (IEEE Xplore, arXiv, YouTube)
The dataset can be used through the official code implementation of the Cam2BEV methodology described on Github.
|Dataset||# Training Samples||# Validation Samples||# Vehicle Cameras||# Semantic Classes||Contained Images (examples)|
|Dataset 1: 360° Surround||33199||3731||4 (front, rear, left, right)||30 (CityScapes)||front camera, rear camera, left camera, right camera, bird's eye view, bird's eye view incl. occlusion, homography view|
|Dataset 2: Front Camera only||32246||3172||1 (front)||30 (CityScapes)||front camera, bird's eye view, bird's eye view incl. occlusion, homography view|