42 datasets found

A dataset of 13 full-length HRCT scans of varying thicknesses (0.67mm, 1mm, 2mm) used to test methods for detecting discrete broncho-arterial pairs and measuring...

The dataset used in this paper is a binary image with outliers. The dataset is used to test the proposed convex hull algorithm for images with outliers.

A new semi-sparsity model for image structure-texture decomposition.

A dataset of 405 natural images with a minimum of one flare spot artifact, captured by different cameras with different technical specifications.

The Extended Yale B database consists of 2414 frontal-face images of 38 subjects. Each subject has around 64 images. The images are cropped and normalized to 192 × 168 under...

VGGAffine is a dataset used to evaluate line segment detection algorithms.

Large-scale Visible Watermark Dataset (LVW) and Colored Large-scale Watermark Dataset (CLWD) for watermark removal task

The dataset used in the paper is the Kylberg texture database, which contains 240 fully-textured images belonging to 6 different substances.

The dataset used in the paper is a compressed sensing problem – under-determined sparse recovery from linear Gaussian random measurements.

InternLM-XC is a vision-language large model that supports images with any aspect ratio from 336 pixels up to 4K HD, facilitating its deployment in real-world contexts.

InternLM2 is a vision-language large model that supports images with any aspect ratio from 336 pixels up to 4K HD, facilitating its deployment in real-world contexts.

InternLM-XComposer2 is a vision-language large model that supports images with any aspect ratio from 336 pixels up to 4K HD, facilitating its deployment in real-world contexts.

InternLM-XComposer2-4KHD is a vision-language large model that supports images with any aspect ratio from 336 pixels up to 4K HD, facilitating its deployment in real-world...

The ceramic-3 test dataset used in the paper for contour matching and image processing tasks.

Microscopic images from the Broad Bioimage Benchmark Collection

Skeleton network library is used to extract line endpoints for each wall segment.

A dataset for inverting visual representations with convolutional networks.

The dataset used for training and testing the proposed NICER approach for aesthetic image enhancement.

The dataset is used for shadow removal tasks.

The dataset is used for shadow removal tasks.