TRansPose
Introduced by Kim et al. in TRansPose: Large-Scale Multispectral Dataset for Transparent Object
TRansPose is a large-scale multispectral dataset that combines stereo RGB-D, TIR (TIR) images, and object poses to promote transparent object research. The dataset includes 99 transparent objects, encompassing 43 household items, 27 recyclable trashes, 29 chemical laboratory equivalents, and 12 non-transparent objects. It comprises a vast collection of 333,819 images and 4,000,056 annotations, providing instance-level segmentation masks, ground-truth poses, and completed depth information.
Papers
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