246 datasets found

The dataset used in this paper for image segmentation is a grayscale image.

The dataset is used for image-based plant phenotyping, specifically for leaf instance segmentation. It contains real images of plants with leaf instance segmentation masks.

The dataset is used for image-based plant phenotyping, specifically for leaf instance segmentation. It contains synthetic images of plants with leaf instance segmentation masks.

A dataset of macular OCT images of healthy controls and patients with diabetic macular edema

Microsoft COCO 2014 and 2017 datasets for object detection, segmentation, and captioning

Synthetic Aperture Sonar (SAS) images, semi-labeled (i.e. not every pixel is labeled in every image)

Multi-class cell segmentation in high-resolution Giga-pixel whole slide images (WSI) is critical for various clinical applications. Training such an AI model typically requires...

The Underwater Change Detection dataset contains images of underwater scenes.

The Image Segmentation dataset is used to evaluate the performance of the ensemble average rule.

The dataset used in the paper is the LIF model, which is a model for image segmentation with intensity inhomogeneity. The dataset is not explicitly described, but it is...

The dataset used in the paper is the LSAC model, which is a model for image segmentation with intensity inhomogeneity. The dataset is not explicitly described, but it is...

The dataset used in the paper is the Chan-Vese model, which is a model for image segmentation. The dataset is not explicitly described, but it is mentioned that the authors used...

The dataset used in the paper is a Delaunay Triangulation with n vertices, where n ranges from 1000 to 10000.

The dataset used in the paper is a collection of images and corresponding referring expressions.

The dataset is a random geometric graph with vertex set [n] based on n i.i.d. random vectors X1,..., Xn drawn from an unknown density f on Rd.

A dataset of pathological OCT scans for photoreceptor layer segmentation

COCO dataset, ADE20K dataset, PASCAL Context dataset, LVIS dataset

The PST900 dataset is a benchmark for RGB-Thermal semantic segmentation, containing 894 synchronized and calibrated RGB and thermal image pairs with pixel-level human annotations.

Advanced by transformer architecture, vision foundation models (VFMs) achieve remarkable progress in performance and generalization ability. Segment Anything Model (SAM) is one...

The dataset used for training and testing the proposed LSSC system, which consists of 1530 training images and 170 test images in RGB format.