246 datasets found

Aerial images and building footprints from GIS resources

Tomatopia is a new, large-scale dataset of greenhouse tomatoes, manually annotated in a pixel-wise manner. The dataset comprises high-resolution RGB-D images and pixel-level...

The dataset used in this paper for psoas muscle segmentation in low-dose X-ray computed tomography images.

A python package consisting of some well-known loss functions widely used for image segmentation.

MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning

The UAVid dataset is used for evaluating the proposed method.

The ISPRS 2D semantic labeling benchmark (Vaihingen) dataset is used for evaluating the proposed method.

Xception: A deep neural network architecture for image classification and segmentation.

Segnet: A deep convolutional encoder-decoder architecture for image segmentation.

The Berkeley Segmentation Database is a collection of images with manually annotated segmentations.

The dataset used in this paper for moving object detection.

The dataset used for unsupervised segmentation of sub-cellular microvilli using fluorescence microscopy.

The LoveDA dataset consists of 5,987 high-quality optical remote sensing images with a resolution of 0.3 meters per pixel.

The Berkeley Segmentation Dataset (BSD) is a dataset of images with manually annotated segmentations.

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 for image segmentation

The proposed algorithm uses the COCO-LVIS dataset for training and evaluation.

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.

The HorseSeg dataset is a large-scale image segmentation dataset

MRI thigh muscle segmentation dataset