This is the NYUv2 dataset for scene understanding tasks.
I downloaded the original data from the Tsinghua Cloud and transformed it into Huggingface Dataset.
Credit to ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning.
Dataset Information
This data contains two splits: 'train' and 'val' (used as test dataset).
Each sample in the dataset has 5 items: 'image', 'segmentation', 'depth', 'normal', and 'noise'.
The noise is generated using torch.rand().
Usage… See the full description on the dataset page: https://huggingface.co/datasets/tanganke/nyuv2.
