-
Brain Tumor Segmentation (BraTS-METs) Challenge 2023
A dataset of brain metastases (BM) segmentation, including T1 contrast enhanced (T1CE) MRI datasets. -
Brain Metastases Segmentation
A dataset of brain metastases (BM) segmentation, including T1 contrast enhanced (T1CE) MRI datasets. -
3D X-ray Microscopy for 3D Object Detection, Segmentation, and Metrology
3D X-ray microscope data for 3D object detection, segmentation, and metrology for buried structures in advanced IC packages -
Spot-the-difference self-supervised pre-training for anomaly detection and se...
The Spot-the-difference self-supervised pre-training for anomaly detection and segmentation dataset. -
ACDC Challenge
Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved? -
Hippocampus (HC) Segmentation dataset
The dataset used for the challenging task of volumetric whole brain segmentation. -
Multi-Atlas Labelling Challenge (MALC)
The dataset used for the challenging task of volumetric whole brain segmentation. -
ACDC and M&Ms datasets
The dataset used for cardiac MRI segmentation -
Cell Tracking Challenge
The Cell Tracking Challenge is a benchmark for cell tracking and segmentation. It consists of several datasets, including Fluo-N2DH-SIM+, DIC-C2DL-HeLa, PhC-C2DH-U373,... -
ACDC Dataset
The ACDC dataset is a large-scale dataset containing images of urban scenes under different weather conditions. -
EM Segmentation Dataset
The EM segmentation dataset has 30 training images with publicly available groundtruth and 30 test images with annotations kept private for the assessment of segmentation accuracy. -
Cervical Cancer Segmentation on Multiparametric MRI
A dataset of multiparametric MRI images of cervical cancer patients for segmentation and analysis. -
APOLLO MOTS
More challenging MOTS dataset with higher instance density and crowded scenes. -
KITTI MOTS
Multi-object tracking and segmentation (MOTS) dataset, with dense instance segment annotations.
