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ShareScore release 0.9.0
Dataset results
2 results for “EfficientNet”
TB-CARE: A Novel Convolutional Autoencoder-based Tuberculosis Classification System with Enhanced EfficientNet
<p><span>The novel framework for TB classification using Convolutional AutoencodeR with EfficientNet (TB-CARE) involves the utilization of a convolutional autoencoder for feature extraction, an affinity propagation clustering method for selecting templates, and an enhanced EfficientNet (EEffNet) for classification. Extensive tests are performed on datasets that are freely accessible. The results of our methodology surpassed those of previous approaches, demonstrating its practicality for real-world applications. By leveraging deep learning models within the ensemble method, TB classification achieves a notable area under the receiver operating characteristic of up to 0.99, outperforming other tested classifiers and setting a new benchmark. EEffNet exhibits outstanding performance with an accuracy of 99.8%, sensitivity of 99.8%, and specificity of 99.7% on the NIH chest X-ray dataset and accuracy of 99.6%, sensitivity of 99.9%, and specificity of 99.4% on TBX11 k Dataset. These results indicate that employing features extracted from various image sources can significantly enhance the detection rate.</span></p>
Image Dataset and Trained Detection Models (based on YOLOv5 and EfficientNet) of Mangrove Crabs of China
<p>A manually annotated image dataset of crabs collected from 16 mangrove forests in China, and a set of trained detection models based on YOLOv5 and EfficientNet. We provide a simple UI that is designed by us, please cite it if helpful.</p>
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.