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3 results for “Arabic Sign Language”
ArabicSL-Net: A Benchmark Video Dataset for Arabic Words Sign Language
<p>The data was captured by mobile camera in four main organization namely Bank , Cafe , Hospital , and Train station. The ArabicSL-Net initially consists of 307 words recorded in approximately 30,000 videos. For each organization, we capture the most representative words that are used in those places. For Bank data, we have a total of 76 of words, while Cafe data contains 54 words. For Hospital, we collects videos for 102 words, and collects videos for 71 words in Train station.</p>
Arabic words sign language video dataset
<p>The dataset consists of 3000 unaltered videos captured by five volunteers, with each volunteer performing 20 repetitions of 30 signs, resulting in approximately 600 videos per volunteer. These videos were recorded without stabilization tools, reflecting the prevalent use of smartphones with built-in cameras. They encompass diverse resolutions, locations, places, and backgrounds, providing a comprehensive representation of real-life scenarios.</p>
ArabicSL-Bench: A Benchmark Image Dataset for Arabic Alphabets Sign Language
<p>The dataset contain a total of 28,000 RGB images belonging to a total of 28 classes. The data was collected from around 50 participants from Zagazig university. The ages of participants are ranging from 15 to 35 years. The images was captured by two mobile phones namely Realme 6, Realme 7, Realme 8. The images were resized into size of 224*224.</p> <p>The inital version of data is available privately on our page: https://www.kaggle.com/datasets/deepologylab/esl-net</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.