Skip to Content

23,752 Results Found

  • Article
  • Open Access
2 Citations
2,991 Views
13 Pages

17 October 2022

Imaging through turbulence has been the subject of many research papers in a variety of fields, including defence, astronomy, earth observations, and medicine. The main goal of such research is usually to recover the original, undisturbed image, in w...

  • Article
  • Open Access
32 Citations
4,926 Views
15 Pages

20 August 2021

Medical image analysis research requires medical image datasets. Nevertheless, due to various impediments, researchers have been described as “data starved”. We hypothesize that implicit evolving community standards require researchers to use ever-gr...

  • Article
  • Open Access
356 Views
19 Pages

MTA-Dataset: Multiple-Tilt-Angle Dataset for UAV–Satellite Image Matching

  • Qifei Liu,
  • Liang Jiang,
  • Guoqiang Wu,
  • Kun Huang,
  • Haohui Sun and
  • Gengchen Liu

4 March 2026

Accurate target localization via matching real-time UAV images with reference satellite imagery is essential for autonomous environmental perception. Nonetheless, operational constraints and weather conditions often necessitate oblique photography. T...

  • Article
  • Open Access
1 Citations
2,295 Views
20 Pages

30 May 2025

High-quality underwater images are essential for both human visual perception and machine analysis in marine vision applications. Although significant progress has been achieved in Underwater Image Quality Assessment (UIQA), almost all existing UIQA...

  • Data Descriptor
  • Open Access
46 Citations
21,616 Views
16 Pages

Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0: A Dataset of Frequently and Rarely Identified Diseases

  • Sachin Panchal,
  • Ankita Naik,
  • Manesh Kokare,
  • Samiksha Pachade,
  • Rushikesh Naigaonkar,
  • Prerana Phadnis and
  • Archana Bhange

28 January 2023

Irreversible vision loss is a worldwide threat. Developing a computer-aided diagnosis system to detect retinal fundus diseases is extremely useful and serviceable to ophthalmologists. Early detection, diagnosis, and correct treatment could save the e...

  • Article
  • Open Access
3 Citations
5,433 Views
22 Pages

AIDCON: An Aerial Image Dataset and Benchmark for Construction Machinery

  • Ahmet Bahaddin Ersoz,
  • Onur Pekcan and
  • Emre Akbas

5 September 2024

Applying deep learning algorithms in the construction industry holds tremendous potential for enhancing site management, safety, and efficiency. The development of such algorithms necessitates a comprehensive and diverse image dataset. This study int...

  • Article
  • Open Access
1 Citations
3,106 Views
33 Pages

Analysis of HMAX Algorithm on Black Bar Image Dataset

  • Alessandro Carlini,
  • Olivier Boisard and
  • Michel Paindavoine

An accurate detection and classification of scenes and objects is essential for interacting with the world, both for living beings and for artificial systems. To reproduce this ability, which is so effective in the animal world, numerous computationa...

  • Article
  • Open Access
99 Citations
9,258 Views
22 Pages

Underwater Image Restoration via Contrastive Learning and a Real-World Dataset

  • Junlin Han,
  • Mehrdad Shoeiby,
  • Tim Malthus,
  • Elizabeth Botha,
  • Janet Anstee,
  • Saeed Anwar,
  • Ran Wei,
  • Mohammad Ali Armin,
  • Hongdong Li and
  • Lars Petersson

31 August 2022

Underwater image restoration is of significant importance in unveiling the underwater world. Numerous techniques and algorithms have been developed in recent decades. However, due to fundamental difficulties associated with imaging/sensing, lighting,...

  • Article
  • Open Access
13 Citations
4,318 Views
18 Pages

A Underwater Sequence Image Dataset for Sharpness and Color Analysis

  • Miao Yang,
  • Ge Yin,
  • Haiwen Wang,
  • Jinnai Dong,
  • Zhuoran Xie and
  • Bing Zheng

7 May 2022

The complex underwater environment usually leads to the problem of quality degradation in underwater images, and the distortion of sharpness and color are the main factors to the quality of underwater images. The paper discloses an underwater sequenc...

  • Article
  • Open Access
44 Citations
9,388 Views
12 Pages

17 July 2020

Currently there is no publicly available adequate dataset that could be used for training Generative Adversarial Networks (GANs) on car images. All available car datasets differ in noise, pose, and zoom levels. Thus, the objective of this work was to...

  • Article
  • Open Access
25 Citations
8,911 Views
17 Pages

WE3DS: An RGB-D Image Dataset for Semantic Segmentation in Agriculture

  • Florian Kitzler,
  • Norbert Barta,
  • Reinhard W. Neugschwandtner,
  • Andreas Gronauer and
  • Viktoria Motsch

1 March 2023

Smart farming (SF) applications rely on robust and accurate computer vision systems. An important computer vision task in agriculture is semantic segmentation, which aims to classify each pixel of an image and can be used for selective weed removal....

  • Article
  • Open Access
7 Citations
4,196 Views
13 Pages

GMSRI: A Texture-Based Martian Surface Rock Image Dataset

  • Cong Wang,
  • Zian Zhang,
  • Yongqiang Zhang,
  • Rui Tian and
  • Mingli Ding

10 August 2021

CNN-based Martian rock image processing has attracted much attention in Mars missions lately, since it can help planetary rover autonomously recognize and collect high value science targets. However, due to the difficulty of Martian rock image acquis...

  • Article
  • Open Access
2 Citations
2,071 Views
23 Pages

Overwater-Haze: A Large-Scale Overwater Paired Image Dehazing Dataset

  • Yuhang Xie,
  • Meng Li,
  • Siqi Wang and
  • Hongbo Wang

19 August 2025

Maritime navigation safety relies on high-precision perception systems. However, hazy weather often significantly compromises system performance, particularly by reducing image quality and increasing navigational risks. Although image dehazing techni...

  • Article
  • Open Access
1 Citations
3,662 Views
12 Pages

MHAiR: A Dataset of Audio-Image Representations for Multimodal Human Actions

  • Muhammad Bilal Shaikh,
  • Douglas Chai,
  • Syed Mohammed Shamsul Islam and
  • Naveed Akhtar

25 January 2024

Audio-image representations for a multimodal human action (MHAiR) dataset contains six different image representations of the audio signals that capture the temporal dynamics of the actions in a very compact and informative way. The dataset was extra...

  • Article
  • Open Access
44 Citations
5,795 Views
20 Pages

31 October 2018

Electrical Capacitance Tomography (ECT) image reconstruction has developed for decades and made great achievements, but there is still a need to find a new theoretical framework to make it better and faster. In recent years, machine learning theory h...

  • Article
  • Open Access
12 Citations
6,428 Views
14 Pages

Image Dataset for Neural Network Performance Estimation with Application to Maritime Ports

  • Miro Petković,
  • Igor Vujović,
  • Zvonimir Lušić and
  • Joško Šoda

Automated surveillance systems based on machine learning and computer vision constantly evolve to improve shipping and assist port authorities. The data obtained can be used for port and port property surveillance, traffic density analysis, maritime...

  • Article
  • Open Access
1,097 Views
16 Pages

4 December 2025

Registering UAV-based thermal and visible images is a challenging task due to differences in appearance across spectra and the lack of public benchmarks. To address this issue, we introduce UAV-TIRVis, a dataset consisting of 80 accurately and manual...

  • Data Descriptor
  • Open Access
8 Citations
5,330 Views
10 Pages

Organ-On-A-Chip (OOC) Image Dataset for Machine Learning and Tissue Model Evaluation

  • Valērija Movčana,
  • Arnis Strods,
  • Karīna Narbute,
  • Fēlikss Rūmnieks,
  • Roberts Rimša,
  • Gatis Mozoļevskis,
  • Maksims Ivanovs,
  • Roberts Kadiķis,
  • Kārlis Gustavs Zviedris and
  • Arturs Abols
  • + 3 authors

1 February 2024

Organ-on-a-chip (OOC) technology has emerged as a groundbreaking approach for emulating the physiological environment, revolutionizing biomedical research, drug development, and personalized medicine. OOC platforms offer more physiologically relevant...

  • Data Descriptor
  • Open Access
7,541 Views
21 Pages

An Open-Source Clinical Case Dataset for Medical Image Classification and Multimodal AI Applications

  • Mauro Nievas Offidani,
  • Facundo Roffet,
  • María Carolina González Galtier,
  • Miguel Massiris and
  • Claudio Delrieux

31 July 2025

High-quality, openly accessible clinical datasets remain a significant bottleneck in advancing both research and clinical applications within medical artificial intelligence. Case reports, often rich in multimodal clinical data, represent an underuti...

  • Article
  • Open Access
6 Citations
4,620 Views
15 Pages

7 October 2022

Among the various fields where deep learning is used, there are challenges to be solved in motion recognition. One is that it is difficult to manage because of the vast amount of data. Another is that it takes a long time to learn due to the complex...

  • Article
  • Open Access
6 Citations
4,178 Views
27 Pages

20 November 2024

Artificial intelligence has significant applications in computer vision studies for cultural heritage. In this research field, visual inspection of historical buildings and the digitization of heritage using machine learning models stand out. However...

  • Article
  • Open Access
1,730 Citations
47,346 Views
23 Pages

22 May 2020

Remote sensing image change detection (CD) is done to identify desired significant changes between bitemporal images. Given two co-registered images taken at different times, the illumination variations and misregistration errors overwhelm the real o...

  • Article
  • Open Access
173 Citations
12,693 Views
13 Pages

16 June 2018

Benchmark datasets are essential for developing and evaluating remote sensing image retrieval (RSIR) approaches. However, most of the existing datasets are single-labeled, with each image in these datasets being annotated by a single label representi...

  • Article
  • Open Access
895 Views
27 Pages

1 November 2025

Image enhancement in complex scenes is challenging due to the frequent coexistence of multiple degradations caused by adverse weather, imaging hardware, and transmission environments. Existing datasets remain limited to single or weather-specific deg...

  • Feature Paper
  • Article
  • Open Access
5 Citations
4,618 Views
20 Pages

A New Dataset and Deep Residual Spectral Spatial Network for Hyperspectral Image Classification

  • Yiming Xue,
  • Dan Zeng,
  • Fansheng Chen,
  • Yueming Wang and
  • Zhijiang Zhang

5 April 2020

Due to the limited varieties and sizes of existing public hyperspectral image (HSI) datasets, the classification accuracies are higher than 99% with convolutional neural networks (CNNs). In this paper, we presented a new HSI dataset named Shandong Fe...

  • Article
  • Open Access
13 Citations
5,734 Views
15 Pages

Sea horizon line (SHL) detection plays a pivotal role in the computational performance improvement of computer applications for the maritime environment by dividing the image into sea and sky regions. This division isolates the region of interest and...

  • Article
  • Open Access
2 Citations
2,068 Views
30 Pages

WHU-RS19 ABZSL: An Attribute-Based Dataset for Remote Sensing Image Understanding

  • Mattia Balestra,
  • Marina Paolanti and
  • Roberto Pierdicca

10 July 2025

The advancement of artificial intelligence (AI) in remote sensing (RS) increasingly depends on datasets that offer rich and structured supervision beyond traditional scene-level labels. Although existing benchmarks for aerial scene classification hav...

  • Article
  • Open Access
3 Citations
3,788 Views
21 Pages

The existing remote sensing image datasets target the identification of objects, features, or man-made targets but lack the ability to provide the date and spatial information for the same feature in the time-series images. The spatial and temporal i...

  • Article
  • Open Access
23 Citations
6,826 Views
22 Pages

Hyperspectral Image Classification on Large-Scale Agricultural Crops: The Heilongjiang Benchmark Dataset, Validation Procedure, and Baseline Results

  • Hongzhe Zhang,
  • Shou Feng,
  • Di Wu,
  • Chunhui Zhao,
  • Xi Liu,
  • Yuan Zhou,
  • Shengnan Wang,
  • Hongtao Deng and
  • Shuang Zheng

26 January 2024

Over the past few decades, researchers have shown sustained and robust investment in exploring methods for hyperspectral image classification (HSIC). The utilization of hyperspectral imagery (HSI) for crop classification in agricultural areas has bee...

  • Article
  • Open Access
1,239 Views
26 Pages

12 November 2025

Accurate remote sensing scene classification is essential for applications such as environmental monitoring and disaster management. In real-world scenarios, particularly during emergency response and disaster relief operations, acquiring nadir-view...

  • Data Descriptor
  • Open Access
27 Citations
7,848 Views
12 Pages

Multiple Image Splicing Dataset (MISD): A Dataset for Multiple Splicing

  • Kalyani Dhananjay Kadam,
  • Swati Ahirrao and
  • Ketan Kotecha

28 September 2021

Image forgery has grown in popularity due to easy access to abundant image editing software. These forged images are so devious that it is impossible to predict with the naked eye. Such images are used to spread misleading information in society with...

  • Article
  • Open Access
5 Citations
4,002 Views
28 Pages

10 May 2021

Remote-sensing time-series datasets are significant for global change research and a better understanding of the Earth. However, remote-sensing acquisitions often provide sparse time series due to sensor resolution limitations and environmental facto...

  • Article
  • Open Access
25 Citations
4,563 Views
18 Pages

19 May 2021

In 2014, we designed and implemented BeePi, a multi-sensor electronic beehive monitoring system. Since then we have been using BeePi monitors deployed at different apiaries in northern Utah to design audio, image, and video processing algorithms to a...

  • Article
  • Open Access
65 Citations
10,598 Views
20 Pages

An Image-Based Approach for the Co-Registration of Multi-Temporal UAV Image Datasets

  • Irene Aicardi,
  • Francesco Nex,
  • Markus Gerke and
  • Andrea Maria Lingua

21 September 2016

During the past years, UAVs (Unmanned Aerial Vehicles) became very popular as low-cost image acquisition platforms since they allow for high resolution and repetitive flights in a flexible way. One application is to monitor dynamic scenes. However, t...

  • Feature Paper
  • Article
  • Open Access
5 Citations
4,264 Views
24 Pages

7 December 2023

This research investigates the usefulness and efficacy of synthetic ruler images for the development of a deep learning-based ruler detection algorithm. Synthetic images offer a compelling alternative to real-world images as data sources in the devel...

  • Article
  • Open Access
1 Citations
2,853 Views
16 Pages

ARAN: Age-Restricted Anonymized Dataset of Children Images and Body Measurements

  • Hezha H. MohammedKhan,
  • Cascha Van Wanrooij,
  • Eric O. Postma,
  • Çiçek Güven,
  • Marleen Balvert,
  • Heersh Raof Saeed and
  • Chenar Omer Ali Al Jaf

Precisely estimating a child’s body measurements and weight from a single image is useful in pediatrics for monitoring growth and detecting early signs of malnutrition. The development of estimation models for this task is hampered by the unava...

  • Article
  • Open Access
79 Citations
10,674 Views
21 Pages

3DRIED: A High-Resolution 3-D Millimeter-Wave Radar Dataset Dedicated to Imaging and Evaluation

  • Shunjun Wei,
  • Zichen Zhou,
  • Mou Wang,
  • Jinshan Wei,
  • Shan Liu,
  • Jun Shi,
  • Xiaoling Zhang and
  • Fan Fan

25 August 2021

Millimeter-wave (MMW) 3-D imaging technology is becoming a research hotspot in the field of safety inspection, intelligent driving, etc., due to its all-day, all-weather, high-resolution and non-destruction feature. Unfortunately, due to the lack of...

  • Article
  • Open Access
15 Citations
7,799 Views
18 Pages

21 May 2023

This article provides a comprehensive and up-to-date overview of the repositories that contain color fundus images. We analyzed them regarding availability and legality, presented the datasets’ characteristics, and identified labeled and unlabe...

  • Data Descriptor
  • Open Access
9 Citations
5,221 Views
10 Pages

Grapevine Plant Image Dataset for Pruning

  • Kyriakos D. Apostolidis,
  • Theofanis Kalampokas,
  • Theodore P. Pachidis and
  • Vassilis G. Kaburlasos

9 August 2022

Grapevine pruning is conducted during winter, and it is a very important and expensive task for wine producers managing their vineyard. During grapevine pruning every year, the past year’s canes should be removed and should provide the possibil...

  • Article
  • Open Access
6 Citations
2,715 Views
16 Pages

26 September 2022

The primary source of the various power-quality-disruption (PQD) concerns in smart grids is the large number of sensors, intelligent electronic devices (IEDs), remote terminal units, smart meters, measurement units, and computers that are linked by a...

  • Article
  • Open Access
7 Citations
3,001 Views
20 Pages

Deblurring Ghost Imaging Reconstruction Based on Underwater Dataset Generated by Few-Shot Learning

  • Xu Yang,
  • Zhongyang Yu,
  • Pengfei Jiang,
  • Lu Xu,
  • Jiemin Hu,
  • Long Wu,
  • Bo Zou,
  • Yong Zhang and
  • Jianlong Zhang

17 August 2022

Underwater ghost imaging based on deep learning can effectively reduce the influence of forward scattering and back scattering of water. With the help of data-driven methods, high-quality results can be reconstructed. However, the training of the und...

  • Article
  • Open Access
23 Citations
7,580 Views
22 Pages

26 April 2021

With the rapid developments of hyperspectral imaging, the cost of collecting hyperspectral data has been lower, while the demand for reliable and detailed hyperspectral annotations has been much more substantial. However, limited by the difficulties...

  • Data Descriptor
  • Open Access
8 Citations
8,040 Views
27 Pages

#PraCegoVer: A Large Dataset for Image Captioning in Portuguese

  • Gabriel Oliveira dos Santos,
  • Esther Luna Colombini and
  • Sandra Avila

21 January 2022

Automatically describing images using natural sentences is essential to visually impaired people’s inclusion on the Internet. This problem is known as Image Captioning. There are many datasets in the literature, but most contain only English ca...

  • Article
  • Open Access
15 Citations
4,140 Views
23 Pages

18 November 2022

In recent years, supervised learning, represented by deep learning, has shown good performance in remote sensing image scene classification with its powerful feature learning ability. However, this method requires large-scale and high-quality handcra...

  • Article
  • Open Access
122 Citations
8,526 Views
15 Pages

3 September 2018

With the capability to automatically learn discriminative features, deep learning has experienced great success in natural images but has rarely been explored for ship classification in high-resolution SAR images due to the training bottleneck caused...

  • Article
  • Open Access
39 Citations
8,282 Views
17 Pages

A New Dataset for Source Identification of High Dynamic Range Images

  • Omar Al Shaya,
  • Pengpeng Yang,
  • Rongrong Ni,
  • Yao Zhao and
  • Alessandro Piva

6 November 2018

Digital source identification is one of the most important problems in the field of multimedia forensics. While Standard Dynamic Range (SDR) images are commonly analyzed, High Dynamic Range (HDR) images are a less common research subject, which leave...

  • Data Descriptor
  • Open Access
1,204 Views
20 Pages

VitralColor-12: A Synthetic Twelve-Color Segmentation Dataset from GPT-Generated Stained-Glass Images

  • Martín Montes Rivera,
  • Carlos Guerrero-Mendez,
  • Daniela Lopez-Betancur,
  • Tonatiuh Saucedo-Anaya,
  • Manuel Sánchez-Cárdenas and
  • Salvador Gómez-Jiménez

18 October 2025

The segmentation and classification of color are crucial stages in image processing, computer vision, and pattern recognition, as they significantly impact the results. The diverse, hand-labeled datasets in the literature are applied for monochromati...

  • Article
  • Open Access
3 Citations
3,842 Views
14 Pages

Dataset Bias Prediction for Few-Shot Image Classification

  • Jang Wook Kim,
  • So Yeon Kim and
  • Kyung-Ah Sohn

Dataset bias is a significant obstacle that negatively affects image classification performance, especially in few-shot learning, where datasets have limited samples per class. However, few studies have focused on this issue. To address this, we prop...

  • Article
  • Open Access
13 Citations
3,240 Views
16 Pages

11 January 2021

Multi-sensor imagery data has been used by researchers for the image semantic segmentation of buildings and outdoor scenes. Due to multi-sensor data hunger, researchers have implemented many simulation approaches to create synthetic datasets, and the...

  • Article
  • Open Access
9 Citations
6,142 Views
19 Pages

HyperVein: A Hyperspectral Image Dataset for Human Vein Detection

  • Henry Ndu,
  • Akbar Sheikh-Akbari,
  • Jiamei Deng and
  • Iosif Mporas

8 February 2024

HyperSpectral Imaging (HSI) plays a pivotal role in various fields, including medical diagnostics, where precise human vein detection is crucial. HyperSpectral (HS) image data are very large and can cause computational complexities. Dimensionality re...

of 476