NOD (Night Object Detection)
Introduced by Morawski et al. in NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset
This is a high-quality large-scale Night Object Detection (NOD) dataset of outdoor images targeting low-light object detection. The dataset contains more than 7K images and 46K annotated objects (with bounding boxes) that belong to classes: person, bicycle, and car. The photos were taken on the streets at evening hours, and thus all images present low-light conditions to a varying degree of severity.
Papers
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