83 datasets found

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.

Various crack detection datasets, including CFD, Crack500, CrackTree260, DeepCrack, GAPs384, Stone331, CRKWH100, CrackLS315, AigleRN, and others.

A comprehensive annotated pavement crack dataset (NHA12D) that contains images with different viewpoints and pavements types.

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.

The dataset is used for shadow removal tasks.

The dataset used in the experiment consists of 50 images equally distributed between five classes: aircraft, bird, bicycle, boat, and dog. Each class has 5 true positive images...

The Google Static Maps API dataset is used to obtain high-resolution daytime satellite images.

The proposed DRFN for large-scale accurate SISR. The dataset used for training and testing is RFL, VDSR, and Berkeley Segmentation Dataset.

Thumbnail generation dataset used in the paper for training and testing the proposed model.

The HPatches dataset is a benchmark dataset for local feature matching. It contains 108 sequences of 6 images each, with 52 sequences having illumination changes and 56...

A new and complex database of images with fruits. Also, some numerical experiments by using TensorFlow library in order to classify the images according to their content.

A benchmark for evaluating hand pose tracking/estimation algorithms on passive stereo. Unlike existing benchmarks, it contains both stereo images from a binocular stereo camera...

Texture classification is an important and challenging problem in many image processing applications.

The dataset used in this paper is a set of L x L images representing functions on [-1, 1]^2 supported on the disk {x ∈ R^2 : |x| < 1}. The images are digitized and the...