Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
63
datasets available to search
ShareScore release 0.9.0
Dataset results
63 results for “visual detection”
Comparison of Critical Flicker Fusion Versus Automated Visual Fields in the Detection of Early Glaucoma
ClinicalTrials.gov study NCT01076114. IPD Sharing: Not stated. Countries: 1. Publications: 11.
Data from: Size variability effects on visual detection are influenced by colour pattern and perceived size
Open the record for dataset details and reuse information.
ClinePlotR: Visualizing genomic clines and detecting outliers in R
Open the record for dataset details and reuse information.
Collective detection based on visual information in animal groups
Open the record for dataset details and reuse information.
Supplementary material 1 from: Grimm-Seyfarth A, Zarzycka A, Nitz T, Heynig L, Weissheimer N, Lampa S, Klenke R (2019) Performance of detection dogs and visual searches for scat detection and discrimination amongst related species with identical diets. Nature Conservation 37: 81-98. https://doi.org/10.3897/natureconservation.37.48208
: Data type: statistical data
Data from: Drosophila increase exploration after visually detecting predators
Novel stimuli elicit behaviors that are collectively known as specific exploration. These behaviors allow the animal to become more familiar with the novel objects within its environment. Specific exploration is frequently suppressed by defensive reactions to predator cues. Herein, we examine if this suppression occurs in Drosophila melanogaster by measuring the response of these flies to wild harvested predators. The flies used in our experiments have been cultured and had not lived under predator threat for multiple decades. In a circular arena with centrally-caged predators, wild type Drosophila actively avoided the pantropical jumping spider, Plexippus paykulli, and the Texas unicorn mantis, Phyllovates chlorophaena, indicating an innate defensive reaction to these predators. Interestingly, wild type Drosophila males also avoided a centrally-caged mock spider, and the avoidance of the mock spider became exaggerated when it was made to move within the cage. Visually impaired Drosophila failed to detect and avoid the Plexippus paykulli and the moving mock spider, while the broadly anosmic orco2 mutants were fully capable of detecting and avoiding Plexippus paykulli, indicating that these flies principally relied upon vison to perceive the predator stimuli. During early exploration of the arena, exploratory activity increased in the presence of Plexippus paykulli and the moving mock spider. The elevated activity induced by Plexippus paykulli disappeared after the fly had finished exploring, suggesting the flies were capable of habituating the predator cues. Taken together, these results indicate that despite being isolated from predators for decades Drosophila will visually detect these predators, retain innate defensive behaviors, respond by increasing exploratory activity in the arena rather than suppressing activity, and may habituate to normal predator cues.
Data from: Visual modelling supports the potential for prey detection by means of diurnal active photolocation in a small cryptobenthic fish
Active sensing has been well documented in animals that use echolocation and electrolocation. Active photolocation, or active sensing using light, has received much less attention, and only in bioluminescent nocturnal species. However, evidence has suggested the diurnal triplefin Tripterygion delaisi uses controlled iris radiance, termed ocular sparks, for prey detection. While this form of diurnal active photolocation was behaviourally described, a study exploring the physical process would provide compelling support for this mechanism. In this paper, we investigate the conditions under which diurnal active photolocation could assist T. delaisi in detecting potential prey. In the field, we sampled gammarids (genus Cheirocratus) and characterized the spectral properties of their eyes, which possess strong directional reflectors. In the laboratory, we quantified ocular sparks size and their angle-dependent radiance. Combined with environmental light measurements and known properties of the visual system of T. delaisi, we modeled diurnal active photolocation under various scenarios. Our results corroborate that diurnal active photolocation should help T. delaisi detect gammarids at distances relevant to foraging, 4.5 cm under favourable conditions and up to 2.5 cm under average conditions. To determine the prevalence of diurnal active photolocation for micro-prey, we encourage further theoretical and empirical work.
TRIBE AGROset - An agricola visual dataset for object detection
<p>This a computer vision dataset for object detection of fruits and trunks in agriculture. In its current stage, the dataset has 22 classes, such as:</p> <ul> <li>background</li> <li>arugula_minus9 (arugula in an early stage of development with less than 9 leaves)</li> <li>arugula_plus9 (arugula in an advanced stage of development with more than 9 leaves)</li> <li>carrot</li> <li>carrot_small_leaves</li> <li>coriander</li> <li>coriander_small_leaves</li> <li>coty (lettuce in the starting stage of development, with about two very small leaves)</li> <li>grape_bunch (bunches of full-size grapes)</li> <li>grape_bunch_small (bunches of pee-size grapes)</li> <li>lettuce_minus9 (lettuce in an early stage of development with less than 9 leaves)</li> <li>lettuce_plus9 (lettuce in an advanced stage of development with more than 9 leaves)</li> <li>lettuce_ready (lettuce ready for being harvested)</li> <li>radish_root</li> <li>radish_small_leaves</li> <li>radish_big_leaves</li> <li>spinach</li> <li>spinach_big</li> <li>swiss_chard</li> <li>tomato</li> <li>trunk (vine and forestry trunk)</li> <li>turnip</li> <li>turnip_small_leaves</li> </ul> <p>All the images were self-acquired in other datasets, under real-world conditions and using typical visual sensors for agricultural robots and IoT. This dataset is the result of the merging of some other datasets after fixing some annotations.</p> <p>Magalhães, Sandro A. ‘Dataset of Tomato inside Greenhouses for Object Detection in Pascal VOC’. INESC TEC, 2021. https://doi.org/10.25747/pc1e-nk92.</p> <p>Aguiar, André Silva, and Sandro Magalhães. ‘Grape Bunch and Vine Trunk Dataset for Deep Learning Object Detection’. Zenodo, 2021. https://doi.org/10.5281/ZENODO.5139598.</p> <p>Rodrigues, Leandro, Francisco Terra, Sandro Magalhães, Filipe Santos, Pedro Moura, and Mário Cunha. ‘PixelCropRobot Dataset: Images of Vegetables Crops in Different Phenological Stages Taken in Greenhouses’. Zenodo, 2021. https://doi.org/10.5281/ZENODO.7433286.</p> <p>Moreira, Germano, Sandro Augusto Magalhães, Tiago Padilha, Filipe Neves dos Santos, and Mário Cunha. ‘RpiTomato Dataset: Greenhouse Tomatoes with Different Ripeness Stages’. Zenodo, 2021. https://doi.org/10.5281/ZENODO.5596363.</p> <p>Sarmento, José, Filipe Neves Dos Santos, and André Silva Aguiar. ‘VinePoint’. Zenodo, 2021. https://doi.org/10.5281/ZENODO.5038646.</p> <p>Magalhães, Sandro Augusto, Germano Moreira, Filipe Neves dos Santos, and Mário Cunha. ‘AgRobTomato Dataset: Greenhouse Tomatoes with Different Ripeness Stages’. Zenodo, 2021. https://doi.org/10.5281/ZENODO.5596799.</p> <p>Da Silva, Daniel Queirós, and Filipe Neves Dos Santos. ‘ForTrunkDet -- Forest Dataset of Visible and Thermal Annotated Images for Object Detection’. Zenodo, 2021. https://doi.org/10.5281/ZENODO.5213825.</p> <p>Da Silva, Daniel Queirós, and Filipe Neves Dos Santos. ‘ForTrunkDetV2 -- Forest Dataset of Visible and Thermal Annotated Images for Object Detection (Augmented Version)’. Zenodo, 2022. https://doi.org/10.5281/ZENODO.7186052.</p> <p> </p>
Efficacy of Fluorescein Visualization of the Uterus in Detecting Endometrial Cancer Invasion
ClinicalTrials.gov study NCT01979003. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Drosophila increase exploration after visually detecting predators
Open the record for dataset details and reuse information.
Data from: Visual modelling supports the potential for prey detection by means of diurnal active photolocation in a small cryptobenthic fish
Open the record for dataset details and reuse information.
Clinker: visualizing fusion genes detected in RNA-seq data
GEO Series GSE113504. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
An annotated visual dataset for Automatic weed detection and identification
<p>This dataset is provided and linked to the Paper :<br> <strong>Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots, </strong><em>in APPS, Special Issue: Machine Learning in Plant Biology: From Genomics to Field Studies</em></p> <p> </p> <p>The training and test images are provided there.</p> <p><br> This research received financial support from the Agence Nationale de la Recherche (grant No. ANR-17-ROSE-0003).</p>
Data from: The effect of mood state on visual search times for detecting a target in noise: an application of smartphone technology
The study of visual perception has largely been completed without regard to the influence that an individual's emotional status may have on their performance in visual tasks. However, there is a growing body of evidence to suggest that mood may affect not only creative abilities and interpersonal skills but also the capacity to perform low-level cognitive tasks. Here, we sought to determine whether rudimentary visual search processes are similarly affected by emotion. Specifically, we examined whether an individual's perceived happiness level affects their ability to detect a target in noise. To do so, we employed pop-out and serial visual search paradigms, implemented using a novel smartphone application that allowed search times and self-rated levels of happiness to be recorded throughout each twenty-four-hour period for two weeks. This experience sampling protocol circumvented the need to alter mood artificially with laboratory-based induction methods. Using our smartphone application, we were able to replicate the classic visual search findings, whereby pop-out search times remained largely unaffected by the number of distractors whereas serial search times increased with increasing number of distractors. While pop-out search times were unaffected by happiness level, serial search times with the maximum numbers of distractors (n = 30) were significantly faster for high happiness levels than low happiness levels (p = 0.02). Our results demonstrate the utility of smartphone applications in assessing ecologically valid measures of human visual performance. We discuss the significance of our findings for the assessment of basic visual functions using search time measures, and for our ability to search effectively for targets in real world settings.
UTERINE EVALUATION FOR THE IDENTIFICATION OF PATHOLOGY. This Study Will Compare the Intrauterine Pathology Detection Rate Between Standard of Care Hydrosonography, and a New Visual Saline Infusion Dev
ClinicalTrials.gov study NCT06394752. IPD Sharing: UNDECIDED. Countries: 2. Publications: 0.
Detection of Visual-Auditory Reaction Rates in Individuals With Type 2 Diabetes
ClinicalTrials.gov study NCT05725889. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Evaluation of Different Perimetric Grids to Detect Central Visual Field Defect in Glaucoma Patients with Reduce Ganglion Cell Layer Thickness Measured by Spectral Domain OCT.
ClinicalTrials.gov study NCT06227611. IPD Sharing: NO. Countries: 1. Publications: 0.
The Influence of Artificial Intelligence (AI )Assisted Polyp Detection (Discovery System) on Visual Gaze Patterns During Real-time Colonoscopy
ClinicalTrials.gov study NCT05619614. IPD Sharing: NO. Countries: 1. Publications: 0.
Comparison of Early Caries Detection in Children Utilizing an Electrical Conductance Device and the Gold Standard of Visual-tactile Technique.
ClinicalTrials.gov study NCT02002728. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: The effect of mood state on visual search times for detecting a target in noise: an application of smartphone technology
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.