-
Automatic detection of solar filaments versus manual digitization
The dataset used for evaluating the performance of cloud removal methods. -
Automated Detecting and Removing Cloud Shadows in Full-Disk Solar Images
The dataset used for evaluating the performance of cloud removal methods. -
Cloud-removal-from-solar-imagery
The dataset used for removing cloud shadows from ground-based solar imagery. -
VIGOR dataset
The VIGOR dataset contains images of buildings and streets from different angles and lighting conditions. -
Ford Multi AV dataset
The Ford Multi AV dataset contains images of vehicles from different angles and lighting conditions. -
Quantum Patch-Based Autoencoder for Anomaly Segmentation
Anomaly segmentation in images using Quantum Patch-Based Autoencoder (QPB-AE) -
Crack detection from pavement images
A dataset for crack detection from pavement images. -
Automatic road crack detection from pavement images
A dataset for automatic road crack detection from pavement images. -
High Resolution Millimeter Wave Imaging For Self-Driving Cars
HawkEye is a system that can generate high resolution perceptually interpretable 2D depth-maps from 3D mmWave heat-maps for self-driving cars. -
Real-world dataset for SCINeRF
This dataset is used to validate the effectiveness of the SCINeRF method for recovering 3D scenes from a single snapshot compressed image. -
Synthetic datasets for SCINeRF
This dataset is used to validate the effectiveness of the SCINeRF method for recovering 3D scenes from a single snapshot compressed image. -
Digital Image Based Identification of Rice Variety
Digital image based identification of rice variety using image processing and neural network. -
ViSTRA2 Dataset
The dataset used in the paper is a collection of video sequences with varying resolutions and bit depths, used for training and testing the proposed video compression framework. -
Counting Objects by Diffused Index
Counting objects is a fundamental but challenging problem. In this paper, we propose diffusion-based, geometry-free, and learning-free methodologies to count the number of... -
HE-Staining Variation (HEV) dataset
HE-Staining Variation (HEV) dataset is used to train and evaluate the proposed stain normalization method. -
Adversarial Color Filter (AdvCF)
Adversarial Color Filter (AdvCF) is a novel color transformation attack that makes it possible to achieve non-suspicious adversarial images by optimizing a simple color filter. -
Hardware-In-the-Loop (HIL) images of SPEED+
The dataset used in this paper for testing the Spacecraft Pose Estimation network trained on the SPEED+ dataset. -
SPEED+ dataset
The dataset used in this paper for training a Spacecraft Pose Estimation network from a sparse set of real images depicting an unknown target spacecraft. -
PartImageNet
The PartImageNet dataset is a large-scale vehicle part segmentation dataset, containing 24,000 images of 158 classes.
