UrOAC: Urban Objects in Any-light Conditions

Published: 10 January 2022| Version 2 | DOI: 10.17632/fcrmp92ckn.2
Contributors:
Francisco Gomez-Donoso,
,

Description

We propose UrOAC, a dataset of urban objects captured in a range of different lightning conditions, from bright daylight to low and poor night-time lighting conditions. In the latter, the objects are only lit by low ambient light, street lamps and headlights of passing-by vehicles. The dataset depicts the following objects: pedestrian crosswalks, green traffic lights and red traffic lights. The annotations include the category and the bounding-box of each object. Faces and license plates have been masked.

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Institutions

Universitat d'Alacant

Categories

Object Recognition, Image Classification, Deep Learning

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