76 datasets found

The ACDC 2017 segmentation database contains cine MRI short-axis slices acquired with 1.5T or 3.0T MRI scanners.

More challenging MOTS dataset with higher instance density and crowded scenes.

Multi-object tracking and segmentation (MOTS) dataset, with dense instance segment annotations.

SemanticKitti is a large-scale street view point cloud dataset for 3D semantic segmentation.

The BUSI dataset is a collection of ultrasound images depicting normal, benign, and malignant breast cancer cases along with their corresponding segmentation maps.

The SUN-SEG dataset comprises 1,106 short video clips with 158,690 video frames total.

The dataset used in the paper for medical image segmentation tasks.

The dataset used in the paper for medical image segmentation tasks.

The ClinicDB dataset comprises 100 images for testing.

The MoNuSeg dataset comprises 30 microscopic images from seven organs in the training set, with annotations of 21,623 individual nuclei, and 14 similar images in the test set.

The DeepLesion dataset is a large-scale dataset containing measurements and 2D bounding-boxes of over 32K lesions from a variety of body parts on computed tomography (CT) images.

The CHASE_DB1 dataset is a publicly available dataset for retinal vessel segmentation.

The MSCMRseg dataset consists of images from 45 patients with cardiomyopathy and the gold standard segmentation of LV, MYO and RV.

A dataset of 1090 annotated images for developing a deep learning model for placental segmentation.

The Cityscapes dataset is a large and famous city street scene semantic segmentation dataset. 19 classes of which 30 classes of this dataset are considered for training and...

Point cloud registration is a crucial problem in computer vision and robotics. Existing methods either rely on matching local geometric features, which are sensitive to the pose...