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ISPRS 2D semantic labeling benchmark (Vaihingen)
The ISPRS 2D semantic labeling benchmark (Vaihingen) dataset is used for evaluating the proposed method. -
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: A deep neural network architecture for image classification and segmentation. -
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Segnet: A deep convolutional encoder-decoder architecture for image segmentation. -
Berkeley Segmentation Database
The Berkeley Segmentation Database is a collection of images with manually annotated segmentations. -
Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Repr...
The dataset used in this paper for moving object detection. -
GAN based Unsupervised Segmentation
The dataset used for unsupervised segmentation of sub-cellular microvilli using fluorescence microscopy. -
LoveDA dataset
The LoveDA dataset consists of 5,987 high-quality optical remote sensing images with a resolution of 0.3 meters per pixel. -
QuakeCity dataset
The QuakeCity dataset, which was released as part of the 2nd International Competition for Structural Health Monitoring contains simulated UAV-captured images of buildings that... -
Digital brain phantom simulated dataset
Digital brain phantom simulated dataset for image segmentation -
Cooperative Image Segmentation
The dataset used in the paper is a distributed image segmentation problem, where each agent has access to only a portion of the entire image. -
HorseSeg dataset
The HorseSeg dataset is a large-scale image segmentation dataset -
Semantic Segmentation of Human Thigh Quadriceps Muscle in Magnetic Resonance ...
MRI thigh muscle segmentation dataset -
Combined Approach for Image Segmentation
The dataset used in this paper for image segmentation is a grayscale image. -
CVPPP Leaf Segmentation Challenge
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. -
UPGen: The Universal Plant Generator
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. -
Macular OCT Images Dataset
A dataset of macular OCT images of healthy controls and patients with diabetic macular edema -
Microsoft COCO 2014 and 2017
Microsoft COCO 2014 and 2017 datasets for object detection, segmentation, and captioning -
Synthetic Aperture Sonar Image Segmentation
Synthetic Aperture Sonar (SAS) images, semi-labeled (i.e. not every pixel is labeled in every image)
