Datasets > Modality > Images > Cam2BEV

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

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