Omkar2118/datasets huggingface dataset:
Mars DTM Estimation

This dataset is useful for doing research in the field of mars surface monocular depth estimation. 
The dataset is composed of 250k patches where each patch is a 3-channels 512 x 512 raster. The first two channels are respectively left and right images of the stereo pair while the third channel is the DTM.
Because DTMs are saved with absolute values you have to preprocess in case you want to predict relative values.
The Dataset size is 800 GB.

Introducing paper: An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars
SDD

**SDD** dataset contains a variety of indoor and outdoor scenes, designed for Image Defocus Deblurring. There are 50 indoor scenes and 65 outdoor scenes in the training set, and 11 indoor scenes and 24 outdoor scenes in the testing set. 

Source: [Learning Single Image Defocus Deblurring with Misaligned Training Pairs](https://arxiv.org/pdf/2211.14502v1.pdf)

Image Source: [https://arxiv.org/pdf/2211.14502v1.pdf](https://arxiv.org/pdf/2211.14502v1.pdf)

Introducing paper: Learning Single Image Defocus Deblurring with Misaligned Training Pairs