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datasets available to search
ShareScore release 0.9.0
Dataset results
24 results for “Character recognition”
Figure 3 from: Drinkwater R, Cubey R, Haston E (2014) The use of Optical Character Recognition (OCR) in the digitisation of herbarium specimen labels. PhytoKeys 38: 15-30. https://doi.org/10.3897/phytokeys.38.7168
Figure 3 - Box plot of Partial Protocol results.
Recognition of Second Language Spoken Words, Signs, and Characters Via Perception and Production in Adults
ClinicalTrials.gov study NCT05587218. IPD Sharing: YES. Countries: 1. Publications: 0.
Oculomotor Training and Chinese Characters Recognition in Children With Neuromuscular Disease
ClinicalTrials.gov study NCT03627962. IPD Sharing: Not stated. Countries: 1. Publications: 0.
German Character Recognition Dataset
<p>The dataset contains 282,472 grayscale images, each measuring 40 x 40 pixels, depicting a diverse range of 82 distinct German characters, digits and mathematical symbols.</p> <p>In contrast to the MNIST dataset, where image alignment varies, all the images in this dataset are perfectly aligned. They are centered within a 40 x 40 bounding box, ensuring they touch either the left and right sides or the top and bottom borders. This alignment significantly simplifies the training task, leading to excellent performance metrics.</p> <p>The training and testing data is stored in two separate CSV files. In each file, the first column represents the Unicode character, while the subsequent 1600 values correspond to the grayscale values of the flattened image. If you find any aspect unclear, please refer to our attached code, which offers a comprehensive logic for training a CNN in PyTorch. You can easily select the specific classes on which you intend to train. Notably, when exclusively training on the digits from 0 to 9, we achieved an impressive accuracy and Matthews Correlation Coefficient (MCC) of roughly 99% on the test data.</p>
ScienceDex guides
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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.