246 datasets found

The SEED dataset contains 15 subjects recorded while watching movie clips designated with a negative/neutral/positive emotion label.

Medical image segmentation dataset

A well-known dataset for object detection and image segmentation

The Vaihingen dataset consists of 1440 scenes with a size of 250×250 pixels. Each scene is a colour-infrared (CIR) true orthophoto and a height grid (digital surface model; DSM)...

Diffusion Probabilistic Models are employed for state-of-the-art image generation. In this work, we present a method for extending such models for performing image segmentation.

Liver CT and left ventricle MRI data for image segmentation

Referring Remote Sensing Image Segmentation (RRSIS) is a new challenge that combines computer vision and natural language processing, delineating specific regions in aerial...

Referring Remote Sensing Image Segmentation (RRSIS) is a new challenge that combines computer vision and natural language processing, delineating specific regions in aerial...

Open-vocabulary image segmentation explores how to recognize any categories at pixel level.

The dataset used for this project contains 4,000 seismic images with 4,000 labeled mask images. The seismic images are in grayscale, and the mask images are in black and white.

The Pascal VOC Challenge dataset is a benchmark for object detection and image segmentation.

Contour detection and hierarchical image segmentation.

The CATCH dataset is used to test the proposed Style-Extracting Diffusion Models (STEDM) for canine cancer histology image segmentation.

The HER2 dataset is used to test the proposed Style-Extracting Diffusion Models (STEDM) for histopathology image segmentation.

The MRSSegClg dataset is used for external testing of the proposed method.

The MIT-Adobe FiveK dataset, a large-scale dataset for image segmentation and object detection.

SAMRS: Scaling-up remote sensing segmentation dataset with segment anything model

The OPTIMA cyst segmentation challenge (OCSC) dataset analyzed in this work contains OCT image stacks acquired by a variety of imaging vendors.

The OCSC dataset contains OCT image stacks acquired by a variety of imaging vendors, where, each image is manually annotated by two manual graders/annotators.

Neounet: Towards accurate colon in Ad-polyp segmentation and neoplasm detection.