151 datasets found

The OPTIMA cyst segmentation challenge (OCSC) dataset analyzed in this work contains OCT image stacks acquired by a variety of imaging vendors.

The OCSC dataset contains OCT image stacks acquired by a variety of imaging vendors, where, each image is manually annotated by two manual graders/annotators.

Few-shot segmentation remains challenging due to the limitations of its labeling information for unseen classes. Most previous approaches rely on extracting high-level feature...

The ISIC 2017 dataset is a collection of images of skin lesions, with annotations for segmentation.

Dataset of breast ultrasound images for image segmentation tasks.

Three publicly available medical imaging datasets: Breast Ultrasound Scan Images (BUSI), CVC-ClinicDB, and ISIC-2016.

The NYUD-v2 dataset is a benchmark for indoor scene segmentation and depth estimation. It contains 1449 images with 4 tasks: semantic segmentation, depth estimation, surface...

Street View is a large-scale dataset of 3D scenes, consisting of millions of images taken from street-level cameras.

The PH2 dataset used for evaluation of the proposed deep learning model for automatic skin lesion segmentation on dermoscopic images.

The Foggy Cityscapes dataset is an extension to the Cityscapes dataset, containing 5k diverse real-world urban driving scenes with fog.

The proposed dynamic routing framework for semantic segmentation.

Implicit ray-transformers for multi-view remote sensing image segmentation

Multi-view segmentation in Remote Sensing (RS) seeks to segment images from diverse perspectives within a scene.

The dataset used for one-shot semantic segmentation, including COCO-20i, FSS-1000, and LVIS-92i.

The OpenSurfaces dataset is a large-scale dataset for material segmentation, containing 25,352 high-resolution indoor images with 45 material categories.

COVID-19-20_v2

The COCO 2014 validation set is used for evaluating the performance of the proposed method.

A dataset for unsupervised anomaly detection and localization.

MvTEC-AD dataset

Anomaly segmentation in images using Quantum Patch-Based Autoencoder (QPB-AE)