Omkar2118/datasets huggingface dataset:
SCIAN
Full name: SCIAN Gold-standard for Morphological Sperm Analysis

Dataset of sperm head images with expert-classification labels. The dataset contains 1854 sperm head images obtained from six semen smears and classified by three Chilean referent domain experts according to World Health Organization (WHO) criteria, in one of the following classes: normal, tapered, pyriform, small and amorphous. This gold-standard is aimed for use in evaluating and comparing not only known techniques, but also future improvements to present approaches for classification of human sperm heads for semen analysis.
Synth-Colon

Synthetic dataset for polyp segmentation. It
is the first dataset generated using zero annotations from medical professionals.
The dataset is composed of 20 000 images with a resolution of 500×500. SynthColon additionally includes realistic colon images generated with a CycleGAN
and the Kvasir training set images. Synth-Colon can also be used for the colon
depth estimation task  because it provides depth and 3D information for each
image. . In summary, Synth-Colon
includes:
– Synthetic images of the colon and one polyp.
– Masks indicating the location of the polyp.
– Realistic images of the colon and polyps. Generated using CycleGAN and
the Kvasir dataset.
– Depth images of the colon and polyp.
– 3D meshes of the colon and polyp in OBJ format.

Introducing paper: Synthetic data for unsupervised polyp segmentation
Munich Sentinel2 Crop Segmentation

Contains squared blocks of 48×48 pixels including 13 Sentinel-2 bands. 
Each 480-m block was mined from a large geographical area of interest (102 km × 42 km) located north of Munich, Germany.

Introducing paper: Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders