Abstract
Although datasets like ImageNet have a variety of classes for object detection, there are not many samples of transparents objects like glass walls, which are fully implemented in shopping malls and houses. The ignorance of transparent objects in object detection may cause potential danger to humans as the machines would not consider glasses as obstacles in path planning. Therefore, GlassOnly collected samples from malls and apartments and built a dataset for glass walls only. The dataset sample simulates a robot walking in human living environments from a perspective of the machine itself, providing data for studying detecting transparents objects.
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