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CHOROID dataset
Private OCT dataset used for testing -
DukeOCT dataset
Open-access OCT dataset used for segmentation pre-training -
OCT2017 dataset
Open-access OCT datasets used for pre-training and fine-tuning the model -
The 2021 Multimodal Brain Tumor Segmentation Challenge (BraTS21) dataset
The 2021 Multimodal Brain Tumor Segmentation Challenge (BraTS21) dataset -
PASCAL Context
The PASCAL Context dataset is a benchmark for multi-task learning in computer vision. It contains 10103 images with 5 tasks: semantic segmentation, human body part segmentation,... -
ImageNet classification dataset
The dataset used for image classification and semantic image segmentation. -
Head and Neck Cancer Dataset
The dataset is used for histopathological image segmentation. It contains H&E stained histopathological images along with annotations. -
Ref-Youtube-VOS
Ref-Youtube-VOS is an extensive referring video object segmentation dataset that comprises approximately 15,000 referring expressions associated with more than 3,900 videos. -
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmen...
LiDAR point-cloud segmentation is an important problem for many applications. For large-scale point cloud segmentation, the de facto method is to project a 3D point cloud to get... -
LVIS: A dataset for segment anything model (SAM)
A dataset for segment anything model (SAM) to evaluate its performance. -
MobileSAMv2: Faster Segment Anything to Everything
Segment anything model (SAM) addresses two practical yet challenging segmentation tasks: segment anything (SegAny), which utilizes a certain point to predict the mask for a... -
BRATS 2018, 2019 and 2020
The BRATS 2018, 2019 and 2020 datasets are used for training and evaluation of the proposed 3D UNet model for brain tumor segmentation. -
Total Segmentator dataset
The Total Segmentator dataset contains 1204 CT images with labels of 104 anatomical structures. -
3D Intervertebral Disc Localization and Segmentation Dataset
The dataset is a collection of 3D multi-modality MRI spine images for intervertebral disc localization and segmentation. -
LGE-MRI test dataset
The dataset used for testing the U-net architecture for automatic segmentation of LGE-MRI images. -
LGE-MRI dataset
The dataset used for training and testing the U-net architecture for automatic segmentation of LGE-MRI images. -
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model
Skin cancer segmentation using Segment Anything Model -
EO-1 Hyperion dataset
The EO-1 Hyperion dataset consists of 35 HS images gathered from NASA’s Earth Observing-1 (EO-1) mission.