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Hi, I am trying to solve a segmentation task for different parts of objects. What I need based on your precious paired 2.5D and 3D data is the partial label for each voxel. Do you think I can find such information in a currently released database?
I found that you generate the partial and complete voxel training data from ShapeNet by your self-defined synthetic camera.
The text was updated successfully, but these errors were encountered:
@wangyida Sorry, our synthesized dataset does not have a semantic label (e.g., arm, leg, etc..) for each voxel, because ShapeNet does not have semantic labels for different parts of a single object. Some other datasets may be suitable for your interesting task.
Hi, I am trying to solve a segmentation task for different parts of objects. What I need based on your precious paired 2.5D and 3D data is the partial label for each voxel. Do you think I can find such information in a currently released database?
I found that you generate the partial and complete voxel training data from ShapeNet by your self-defined synthetic camera.
The text was updated successfully, but these errors were encountered: