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Data · dataset · 2023

Synthetic Digital City Dataset

Listed in ScienceDB

Synthetic Digital City Dataset (SDCD) is a large-scale, high-resolution monocular depth driving dataset, which consists of 930K high-resolution RGB images and corresponding dense depth maps.

Description

SDCD is generated and collected under 7 different weather driving conditions [Sunny, Overcast, Night, Rain, Snow, Sleet, Dust], and common adverse disturbances caused by the transmission of communication equipment [Noise, Blur, ColorQuant, Pixelate, JPEG] is imposed on RGB images of SDCD as well.

SDCD provides adequate training data for investigate the generalization and robustness of depth estimation algorithms, and it serve to boost the development of the perception system in autonomous driving.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 65%
Provenance · 1 source records, 12 field assertions
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ScienceDB10.57760/sciencedb.083549 d agoJSON v1
FieldAssertionExtractorEvidence
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