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Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.
This project shows how to analyze the influences of object characteristics on detection performance and the frequency and impact of different types of false positives.
In recent years, object recognition has attracted increasing attention of researchers due to its numerous applications. For instance, object recognition enables collaborative robots to carry out tasks like searching for an object in an unstructured environment or retrieving a tool for a human coworker. In this study, we present a new technique f…