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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. -
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 -
Combined Approach for Image Segmentation
The dataset used in this paper for image segmentation is a grayscale image. -
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) -
Image Segmentation
The Image Segmentation dataset is used to evaluate the performance of the ensemble average rule. -
LSAC model
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... -
Chan-Vese model
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... -
COCO, ADE20K, PASCAL Context, and LVIS datasets
COCO dataset, ADE20K dataset, PASCAL Context dataset, LVIS dataset -
Microsoft Common Objects in Context (MS COCO)
A well-known dataset for object detection and image segmentation -
Liver Segmentation and Left Ventricle Segmentation
Liver CT and left ventricle MRI data for image segmentation
