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correll/semanticsegmentationandposeestimationfromrgbd

RGB-D dataset for instance segmentation (from RGB or depth) and pose estimation of individual objects. Data has been generated by randomizing bin contents in Webots. Each instance contains a mask image as well meta data containing labels, position, and size of each object. You can create your own data by opening webots_grasp.wbt in the world directory using Webots.

sourceHugging Facemitupdated 3y agoView on Hugging Face
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RGB-D dataset for instance segmentation (from RGB or depth) and pose estimation of individual objects. Data has been generated by randomizing bin contents in Webots. Each instance contains a mask image as well meta data containing labels, position, and size of each object.

<video src='https://cdn-uploads.huggingface.co/production/uploads/655b1b359d249b4ab388d4a2/l6b76ezxkPi6lG3Fr6_kj.mp4' width=720/>

You can create your own data by opening webots_grasp.wbt in the world directory using Webots.