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VH-HFCN based Parking Slot and Lane Markings Segmentation on Panoramic Surrou...
A public PSV dataset for parking slot and lane markings segmentation -
MNIST(multi)
The MNIST(multi) dataset is used to test the ability of TARGET-VAE to identify multiple objects in images. -
VertXNet: An Ensemble Method for Vertebrae Segmentation and Identification of ...
The proposed pipeline, VertXNet, is trained and tested on either anonymized X-ray images (MEASURE 1 and PREVENT) from completed and anonymized secukinumab clinical trials or a... -
COD10K, CHAMELEON, CAMO, ISTD, kvasir-SEG
The dataset used for camouflaged object detection, shadow detection, and polyp segmentation tasks. -
OMG-Seg Dataset
The dataset used for training and testing the OMG-Seg model, which includes COCO panoptic, COCO-SAM, VIPSeg, Youtube-VIS-2019, and Youtube-VIS-2021 datasets. -
SceneNet RGB-D
The dataset used in this paper for multi-sensor next-best-view planning as matroid-constrained submodular maximization. -
Brain Tumor Segmentation Dataset
Brain tumor segmentation dataset used for training and evaluation of the proposed Squeeze Excitation Embedded Attention UNet (SEEA-UNet) model. -
RIM-ONE-r3 Dataset
The RIM-ONE-r3 dataset contains 60 test images. -
Refuge Challenge Data Set
The Refuge challenging data set contains 400 train, 400 validation, and 400 test images. -
Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Image...
Convex shapes are common priors for optic disc and cup segmentation in eye fundus images. This method is proposed to guarantee that outputs are convex shapes. -
DUT Defocus Blur Detection Dataset
DUT is a new defocus blur detection dataset which consists of 500 images as the test set and 600 images as the train set. -
CUHK Blur Detection Dataset
CUHK is a classical blur detection dataset, among which 296 images are partially motion-blurred, and 704 images are defocus-blurred. -
MSDU-net: A Multi-Scale Dilated U-net for Blur Detection
Blur detection is the separation of blurred and clear regions of an image, which is an important and challenging task in computer vision. In this work, we regard blur detection... -
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,... -
ISIC skin cancer segmentation challenge and lung segmentation dataset
Skin cancer segmentation and lung lesion segmentation datasets -
Pascal Voc 2012 and Cityscapes
The dataset used in the paper is Pascal Voc 2012 and Cityscapes. -
PASCAL-Context Dataset
The PASCAL-Context dataset comprises 4,998 images for training and 5,105 images for testing. This dataset offers dense labels for four tasks including semantic segmentation,...
