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Retail Objects Affordance Dataset, underlying the MSc thesis: Object Affordance Detection for Mobile Manipulation in Retail Environments

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dataset
posted on 11.05.2021, 10:59 by Paul van HoutumPaul van Houtum
Synthetically generated affordance dataset consisting of 3237 images with pixel-level annotations for either graspable or pushable affordance classes. Further, 204 annotated real images of similar scenarios are included.
Images contain retail store related objects lying of supermarket floors, together with a semantic masks differentiating the object from the background.

History

Publisher

4TU.ResearchData

Format

Images: .png .jpg mask + label: . Synthetic data -> .png + .txt Real image data -> .jpg + .json

Organizations

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Department of Cognitive Robotics.