SUN RGBD 3D Object Detection

by S. Song,S. Lichtenberg,J. XiaoUnknown

SUN RGBD 3D Object Detection

3D object detection is a fundamental task for scene understanding. In this task, we focus on predicting a 3D bounding box in real world dimension to include an object at its full extent. The test data consist of 2860 newly acquired RGB-D images that ground-truth bounding boxes are not publically available. We use the existing SUNRGB-D dataset as training data. This challenge is hosted with LSUN challenge in CVPR.

Dataset Attributes

Label SVG
TasksDetection
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CategoriesIndoor, Furniture, Household
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SensorRGB-D

Class Labels

sinktoiletchairtablesofabookshelfbednight_standbathtubgarbage_bin