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  • Article
  • Open Access
708 Views
13 Pages

Mixed palletizing remains a core challenge in distribution centers and modern warehouse operations, particularly within robotic handling and automation systems. Progress in this domain has been hindered by the lack of realistic, freely available data...

  • Article
  • Open Access
974 Views
21 Pages

DERI1000: A New Benchmark for Dataset Explainability Readiness

  • Andrej Pisarcik,
  • Robert Hudec and
  • Roberta Hlavata

8 December 2025

Deep learning models are increasingly evaluated not only for predictive accuracy but also for their robustness, interpretability, and data quality dependencies. However, current benchmarks largely isolate these dimensions, lacking a unified evaluatio...

  • Article
  • Open Access
14 Citations
6,245 Views
28 Pages

DLR HySU—A Benchmark Dataset for Spectral Unmixing

  • Daniele Cerra,
  • Miguel Pato,
  • Kevin Alonso,
  • Claas Köhler,
  • Mathias Schneider,
  • Raquel de los Reyes,
  • Emiliano Carmona,
  • Rudolf Richter,
  • Franz Kurz and
  • Rupert Müller
  • + 1 author

30 June 2021

Spectral unmixing represents both an application per se and a pre-processing step for several applications involving data acquired by imaging spectrometers. However, there is still a lack of publicly available reference data sets suitable for the val...

  • Article
  • Open Access
8 Citations
7,006 Views
25 Pages

RobotP: A Benchmark Dataset for 6D Object Pose Estimation

  • Honglin Yuan,
  • Tim Hoogenkamp and
  • Remco C. Veltkamp

11 February 2021

Deep learning has achieved great success on robotic vision tasks. However, when compared with other vision-based tasks, it is difficult to collect a representative and sufficiently large training set for six-dimensional (6D) object pose estimation, d...

  • Feature Paper
  • Article
  • Open Access
12 Citations
4,030 Views
17 Pages

A Benchmark for Maritime Object Detection with Centernet on an Improved Dataset, ABOships-PLUS

  • Bogdan Iancu,
  • Jesper Winsten,
  • Valentin Soloviev and
  • Johan Lilius

Object detection from waterborne imagery is an essential aspect in maritime traffic management, navigation safety and coastal security. Building efficient autonomous systems, which can take decisions in critical situations, requires an integration of...

  • Article
  • Open Access
4 Citations
3,205 Views
18 Pages

A Large Benchmark Dataset for Individual Sheep Face Recognition

  • Yue Pang,
  • Wenbo Yu,
  • Chuanzhong Xuan,
  • Yongan Zhang and
  • Pei Wu

The mutton sheep breeding industry has transformed significantly in recent years, from traditional grassland free-range farming to a more intelligent approach. As a result, automated sheep face recognition systems have become vital to modern breeding...

  • Article
  • Open Access
1 Citations
2,242 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...

  • Article
  • Open Access
44 Citations
5,786 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
1,024 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...

  • Article
  • Open Access
3 Citations
3,369 Views
16 Pages

To promote the development of deep learning for feature matching, image registration, and three-dimensional reconstruction, we propose a method of constructing a deep learning benchmark dataset for affine-invariant feature matching. Existing images o...

  • Article
  • Open Access
6 Citations
4,335 Views
21 Pages

CUS3D: A New Comprehensive Urban-Scale Semantic-Segmentation 3D Benchmark Dataset

  • Lin Gao,
  • Yu Liu,
  • Xi Chen,
  • Yuxiang Liu,
  • Shen Yan and
  • Maojun Zhang

19 March 2024

With the continuous advancement of the construction of smart cities, the availability of large-scale and semantically enriched datasets is essential for enhancing the machine’s ability to understand urban scenes. Mesh data have a distinct advan...

  • Article
  • Open Access
3 Citations
2,442 Views
15 Pages

An Entropy-Based Method with a New Benchmark Dataset for Chinese Textual Affective Structure Analysis

  • Shufeng Xiong,
  • Xiaobo Fan,
  • Vishwash Batra,
  • Yiming Zeng,
  • Guipei Zhang,
  • Lei Xi,
  • Hebing Liu and
  • Lei Shi

13 May 2023

Affective understanding of language is an important research focus in artificial intelligence. The large-scale annotated datasets of Chinese textual affective structure (CTAS) are the foundation for subsequent higher-level analysis of documents. Howe...

  • Article
  • Open Access
20 Citations
9,550 Views
23 Pages

Epitope Prediction Based on Random Peptide Library Screening: Benchmark Dataset and Prediction Tools Evaluation

  • Pingping Sun,
  • Wenhan Chen,
  • Yanxin Huang,
  • Hongyan Wang,
  • Zhiqiang Ma and
  • Yinghua Lv

16 June 2011

Epitope prediction based on random peptide library screening has become a focus as a promising method in immunoinformatics research. Some novel software and web-based servers have been proposed in recent years and have succeeded in given test cases....

  • Article
  • Open Access
2 Citations
4,009 Views
20 Pages

6 September 2024

The accurate reconstruction of indoor environments is crucial for applications in augmented reality, virtual reality, and robotics. However, existing indoor datasets are often limited in scale, lack ground truth point clouds, and provide insufficient...

  • Article
  • Open Access
3 Citations
5,870 Views
33 Pages

An Open Benchmark Dataset for Forest Characterization from Sentinel-1 and -2 Time Series

  • Sarah Hauser,
  • Michael Ruhhammer,
  • Andreas Schmitt and
  • Peter Krzystek

26 January 2024

Earth observation satellites offer vast opportunities for quantifying landscapes and regional land cover composition and changes. The integration of artificial intelligence in remote sensing is essential for monitoring significant land cover types li...

  • Article
  • Open Access
2 Citations
1,782 Views
23 Pages

OMAD-6: Advancing Offshore Mariculture Monitoring with a Comprehensive Six-Type Dataset and Performance Benchmark

  • Zewen Mo,
  • Yinyu Liang,
  • Yulin Chen,
  • Yanyun Shen,
  • Minduan Xu,
  • Zhipan Wang and
  • Qingling Zhang

2 December 2024

Offshore mariculture is critical for global food security and economic development. Advances in deep learning and data-driven approaches, enable the rapid and effective monitoring of offshore mariculture distribution and changes. However, detector pe...

  • Article
  • Open Access
280 Views
15 Pages

Preclinical HistoBench: A Pilot Benchmark Dataset for Evaluating Large Language Models on Preclinical Histopathological Classification

  • Avan Kader,
  • Marie-Luise H. H. Ranner-Hafferl,
  • Felix Reuter,
  • Miriam L. Fichtner,
  • Marcus R. Makowski,
  • Keno K. Bressem and
  • Lisa C. Adams

27 February 2026

Background and Purpose: We present a pilot benchmark dataset of 378 preclinical histological samples for evaluating large language model (LLM) performance on multi-dimensional classification tasks. This dataset addresses the lack of standardized benc...

  • Article
  • Open Access
4 Citations
4,686 Views
21 Pages

The problem of data enrichment to train visual SLAM and VO construction models using deep learning (DL) is an urgent problem today in computer vision. DL requires a large amount of data to train a model, and more data with many different contextual a...

  • Article
  • Open Access
23 Citations
6,788 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
3,011 Views
18 Pages

SAREnv: An Open-Source Dataset and Benchmark Tool for Informed Wilderness Search and Rescue Using UAVs

  • Kasper Andreas Rømer Grøntved,
  • Alejandro Jarabo-Peñas,
  • Sid Reid,
  • Edouard George Alain Rolland,
  • Matthew Watson,
  • Arthur Richards,
  • Steve Bullock and
  • Anders Lyhne Christensen

5 September 2025

Unmanned aerial vehicles (UAVs) play an increasingly vital role in wilderness search and rescue (SAR) operations by enhancing situational awareness and extending the capabilities of human teams. Yet, a lack of standardized benchmarks has impeded the...

  • Article
  • Open Access
12 Citations
6,260 Views
26 Pages

7 June 2023

With the increasing volume of collected Earth observation (EO) data, artificial intelligence (AI) methods have become state-of-the-art in processing and analyzing them. However, there is still a lack of high-quality, large-scale EO datasets for train...

  • Article
  • Open Access
31 Citations
6,756 Views
36 Pages

Highly Accurate Experimental Heave Decay Tests with a Floating Sphere: A Public Benchmark Dataset for Model Validation of Fluid–Structure Interaction

  • Morten Bech Kramer,
  • Jacob Andersen,
  • Sarah Thomas,
  • Flemming Buus Bendixen,
  • Harry Bingham,
  • Robert Read,
  • Nikolaj Holk,
  • Edward Ransley,
  • Scott Brown and
  • Claes Eskilsson
  • + 6 authors

6 January 2021

Highly accurate and precise heave decay tests on a sphere with a diameter of 300 mm were completed in a meticulously designed test setup in the wave basin in the Ocean and Coastal Engineering Laboratory at Aalborg University, Denmark. The tests were...

  • Technical Note
  • Open Access
15 Citations
5,694 Views
12 Pages

28 May 2024

The anthropogenic climate crisis results in the gradual loss of tree species in locations where they were previously able to grow. This leads to increasing workloads and requirements for foresters and arborists as they are forced to restructure their...

  • Article
  • Open Access
950 Views
17 Pages

SADAMB: Advancing Spatially-Aware Vision-Language Modeling Through Datasets, Metrics, and Benchmarks

  • Giorgos Papadopoulos,
  • Petros Drakoulis,
  • Athanasios Ntovas,
  • Alexandros Doumanoglou and
  • Dimitris Zarpalas

29 September 2025

Understanding spatial relationships between objects in images is crucial for robotic navigation, augmented reality systems, and autonomous driving applications, among others. However, existing vision-language benchmarks often overlook explicit spatia...

  • Article
  • Open Access
1 Citations
3,236 Views
10 Pages

Early-Stage Melanoma Benchmark Dataset

  • Aleksandra Dzieniszewska,
  • Piotr Garbat,
  • Paweł Pietkiewicz and
  • Ryszard Piramidowicz

26 July 2025

Background: The early detection of melanoma is crucial for improving patient outcomes, as survival rates decline dramatically with disease progression. Despite significant achievements in deep learning methods for skin lesion analysis, several challe...

  • Review
  • Open Access
14 Citations
6,373 Views
24 Pages

13 April 2023

Point cloud registration is the process of aligning point clouds collected at different locations of the same scene, which transforms the data into a common coordinate system and forms an integrated dataset. It is a fundamental task before the applic...

  • Article
  • Open Access
21 Citations
5,916 Views
22 Pages

10 February 2023

Power line inspection is an important part of the smart grid. Efficient real-time detection of power devices on the power line is a challenging problem for power line inspection. In recent years, deep learning methods have achieved remarkable results...

  • Article
  • Open Access
19 Citations
8,648 Views
25 Pages

20 November 2020

Earth Observation satellite imaging helps building diagnosis during a disaster. Several models are put forward on the xBD dataset, which can be divided into two levels: the building level and the pixel level. Models from two levels evolve into severa...

  • Article
  • Open Access
10 Citations
2,911 Views
24 Pages

Benchmark Dataset for Training Machine Learning Models to Predict the Pathway Involvement of Metabolites

  • Erik D. Huckvale,
  • Christian D. Powell,
  • Huan Jin and
  • Hunter N. B. Moseley

1 November 2023

Metabolic pathways are a human-defined grouping of life sustaining biochemical reactions, metabolites being both the reactants and products of these reactions. But many public datasets include identified metabolites whose pathway involvement is unkno...

  • Data Descriptor
  • Open Access
26 Citations
5,672 Views
10 Pages

SocNav1: A Dataset to Benchmark and Learn Social Navigation Conventions

  • Luis J. Manso,
  • Pedro Nuñez,
  • Luis V. Calderita,
  • Diego R. Faria and
  • Pilar Bachiller

14 January 2020

Datasets are essential to the development and evaluation of machine learning and artificial intelligence algorithms. As new tasks are addressed, new datasets are required. Training algorithms for human-aware navigation is an example of this need. Dif...

  • Article
  • Open Access
21 Citations
5,455 Views
7 Pages

Candida auris Whole-Genome Sequence Benchmark Dataset for Phylogenomic Pipelines

  • Rory M. Welsh,
  • Elizabeth Misas,
  • Kaitlin Forsberg,
  • Meghan Lyman and
  • Nancy A. Chow

16 March 2021

Candida auris is a multidrug-resistant pathogen that represents a serious public health threat due to its rapid global emergence, increasing incidence of healthcare-associated outbreaks, and high rates of antifungal resistance. Whole-genome sequencin...

  • Article
  • Open Access
2 Citations
1,688 Views
16 Pages

WPS-Dataset: A Benchmark for Wood Plate Segmentation in Bark Removal Processing

  • Rijun Wang,
  • Guanghao Zhang,
  • Fulong Liang,
  • Xiangwei Mou,
  • Bo Wang,
  • Yesheng Chen,
  • Peng Sun and
  • Canjin Wang

25 November 2024

Wood plate bark removal processing is critical for ensuring the quality of wood processing and its products. To address the issue of lack of datasets available for the application of deep learning methods to this field, and to fill the research gap o...

  • Article
  • Open Access
24 Citations
6,425 Views
11 Pages

22 June 2022

(1) Background: the ability to use social media to communicate without revealing one’s real identity has created an attractive setting for cyberbullying. Several studies targeted social media to collect their datasets with the aim of automatica...

  • Article
  • Open Access
5 Citations
5,568 Views
27 Pages

An Aerial Photogrammetry Benchmark Dataset for Point Cloud Segmentation and Style Translation

  • Meida Chen,
  • Kangle Han,
  • Zifan Yu,
  • Andrew Feng,
  • Yu Hou,
  • Suya You and
  • Lucio Soibelman

14 November 2024

The recent surge in diverse 3D datasets spanning various scales and applications marks a significant advancement in the field. However, the comprehensive process of data acquisition, refinement, and annotation at a large scale poses a formidable chal...

  • Article
  • Open Access
52 Citations
7,046 Views
20 Pages

Pyramid Pooling Module-Based Semi-Siamese Network: A Benchmark Model for Assessing Building Damage from xBD Satellite Imagery Datasets

  • Yanbing Bai,
  • Junjie Hu,
  • Jinhua Su,
  • Xing Liu,
  • Haoyu Liu,
  • Xianwen He,
  • Shengwang Meng,
  • Erick Mas and
  • Shunichi Koshimura

11 December 2020

Most mainstream research on assessing building damage using satellite imagery is based on scattered datasets and lacks unified standards and methods to quantify and compare the performance of different models. To mitigate these problems, the present...

  • Article
  • Open Access
12 Citations
4,590 Views
18 Pages

16 September 2022

Domain adaptation for classification has achieved significant progress in natural images but not in remote-sensing images due to huge differences in data-imaging mechanisms between different modalities and inconsistencies in class labels among existi...

  • Article
  • Open Access
10 Citations
8,073 Views
22 Pages

Pano-RSOD: A Dataset and Benchmark for Panoramic Road Scene Object Detection

  • Yong Li,
  • Guofeng Tong,
  • Huashuai Gao,
  • Yuebin Wang,
  • Liqiang Zhang and
  • Huairong Chen

Panoramic images have a wide range of applications in many fields with their ability to perceive all-round information. Object detection based on panoramic images has certain advantages in terms of environment perception due to the characteristics of...

  • Technical Note
  • Open Access
1 Citations
4,541 Views
16 Pages

A Benchmark Dataset for Aircraft Detection in Optical Remote Sensing Imagery

  • Jianming Hu,
  • Xiyang Zhi,
  • Bingxian Zhang,
  • Tianjun Shi,
  • Qi Cui and
  • Xiaogang Sun

17 December 2024

The problem is that existing aircraft detection datasets rarely simultaneously consider the diversity of target features and the complexity of environmental factors, which has become an important factor restricting the effectiveness and reliability o...

  • Article
  • Open Access
1 Citations
3,978 Views
15 Pages

Protein structure prediction is an important issue in structural bioinformatics. In this process, model quality assessment (MQA), which estimates the accuracy of the predicted structure, is also practically important. Currently, the most commonly use...

  • Article
  • Open Access
1,226 Views
13 Pages

Scalable Model-Based Diagnosis with FastDiag: A Dataset and Parallel Benchmark Framework

  • Delia Isabel Carrión León,
  • Cristian Vidal-Silva and
  • Nicolás Márquez

3 September 2025

FastDiag is a widely used algorithm for model-based diagnosis, computing minimal subsets of constraints whose removal restores consistency in knowledge-based systems. As applications grow in complexity, researchers have proposed parallel extensions s...

  • Data Descriptor
  • Open Access
67 Views
20 Pages

MultiPolar: A Benchmark Dataset for Digital Photoelasticity Using a Pixelated Polarization Camera

  • Juan Camilo Hernández-Gómez,
  • Juan Carlos Briñez-de León,
  • Mateo Rico-García,
  • José López-Prado and
  • Hermes Fandiño-Toro

12 March 2026

Digital photoelasticity enables non-contact, full-field stress analysis through optical fringe patterns, yet its practical deployment is often constrained by experimental complexity and the limited availability of open, standardized datasets. The eme...

  • Article
  • Open Access
9 Citations
5,345 Views
36 Pages

18 February 2023

This paper presents the CRBeDaSet—a new benchmark dataset designed for evaluating close range, image-based 3D modeling and reconstruction techniques, and the first empirical experiences of its use. The test object is a medium-sized building. Di...

  • Feature Paper
  • Article
  • Open Access
832 Views
25 Pages

Photo-Set: A Proposed Dataset and Benchmark for Physics-Based Cybersecurity Monitoring in Photovoltaic Systems

  • Afroz Mokarim,
  • Giovanni Battista Gaggero,
  • Giulio Ferro,
  • Michela Robba,
  • Paola Girdinio and
  • Mario Marchese

9 October 2025

Modern photovoltaic (PV) systems face increasing cybersecurity threats due to their integration with smart grid infrastructure. While previous research has identified vulnerabilities, the lack of standardized datasets has hindered the development and...

  • Article
  • Open Access
1 Citations
2,508 Views
22 Pages

RiceStageSeg: A Multimodal Benchmark Dataset for Semantic Segmentation of Rice Growth Stages

  • Jianping Zhang,
  • Tailai Chen,
  • Yizhe Li,
  • Qi Meng,
  • Yanying Chen,
  • Jie Deng and
  • Enhong Sun

16 August 2025

The accurate identification of rice growth stages is critical for precision agriculture, crop management, and yield estimation. Remote sensing technologies, particularly multimodal approaches that integrate high spatial and hyperspectral resolution i...

  • Article
  • Open Access
14 Citations
14,863 Views
15 Pages

Shoplifting Detection Using Hybrid Neural Network CNN-BiLSMT and Development of Benchmark Dataset

  • Iqra Muneer,
  • Mubbashar Saddique,
  • Zulfiqar Habib and
  • Heba G. Mohamed

19 July 2023

Shoplifting poses a significant challenge for shop owners as well as other stakeholders, including law enforcement agencies. In recent years, the task of shoplifting detection has gained the interest of researchers due to video surveillance generatin...

  • Article
  • Open Access
1,726 Views
27 Pages

LCFC-Laptop: A Benchmark Dataset for Detecting Surface Defects in Consumer Electronics

  • Hua-Feng Dai,
  • Jyun-Rong Wang,
  • Quan Zhong,
  • Dong Qin,
  • Hao Liu and
  • Fei Guo

22 July 2025

As a high-market-value sector, the consumer electronics industry is particularly vulnerable to reputational damage from surface defects in shipped products. However, the high level of automation and the short product life cycles in this industry make...

  • Article
  • Open Access
1 Citations
3,200 Views
20 Pages

We introduce an emotional stimuli detection task that targets extracting emotional regions that evoke people’s emotions (i.e., emotional stimuli) in artworks. This task offers new challenges to the community because of the diversity of artwork...

  • Article
  • Open Access
2 Citations
2,414 Views
21 Pages

Aerial-Ground Cross-View Vehicle Re-Identification: A Benchmark Dataset and Baseline

  • Linzhi Shang,
  • Chen Min,
  • Juan Wang,
  • Liang Xiao,
  • Dawei Zhao and
  • Yiming Nie

31 July 2025

Vehicle re-identification (Re-ID) is a critical computer vision task that aims to match the same vehicle across spatially distributed cameras, especially in the context of remote sensing imagery. While prior research has primarily focused on Re-ID us...

  • Article
  • Open Access
466 Views
25 Pages

27 February 2026

Accurate plant classification based on deep learning is important for precision agriculture, such as weed control, crop monitoring, and smart farming systems. The accuracies of deep learning models rely on datasets. Although many datasets have been p...

  • Article
  • Open Access
15 Citations
9,164 Views
33 Pages

A Benchmark Dataset to Distinguish Human-Written and Machine-Generated Scientific Papers

  • Mohamed Hesham Ibrahim Abdalla,
  • Simon Malberg,
  • Daryna Dementieva,
  • Edoardo Mosca and
  • Georg Groh

26 September 2023

As generative NLP can now produce content nearly indistinguishable from human writing, it is becoming difficult to identify genuine research contributions in academic writing and scientific publications. Moreover, information in machine-generated tex...

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