Omkar2118/datasets huggingface dataset:
MOSE
Full name: Complex Video Object Segmentation

**CoMplex video Object SEgmentation (MOSE)** is a dataset to study the tracking and segmenting objects in complex environments. MOSE contains 2,149 video clips and 5,200 objects from 36 categories, with 431,725 high-quality object segmentation masks. The most notable feature of MOSE dataset is complex scenes with crowded and occluded objects.

Source: [MOSE: A New Dataset for Video Object Segmentation in Complex Scenes](https://arxiv.org/pdf/2302.01872.pdf)

Introducing paper: MOSE: A New Dataset for Video Object Segmentation in Complex Scenes
DIV2KRK
Full name: DIV2K Random Kernel

Using the validation set (100 images) from the widely used DIV2K dataset, we blurred and subsampled each image with a different, randomly generated kernel. Kernels were 11x11 anisotropic gaussians with random lengths λ1, λ2∼U(0.6, 5) independently distributed for each axis, rotated by a random angle θ∼U[−π, π].

Introducing paper: Blind Super-Resolution Kernel Estimation using an Internal-GAN