The American Sign Language Letters dataset is an object detection dataset of each ASL letter with a bounding box. David Lee, a data scientist focused on accessibility, curated and released the dataset for public use. Use Cases One could build a model that reads letters in sign language. For ...
CNN-2 consisting of two hidden layers produced the best results (accuracy of 96.4%) for the Arabic sign language dataset. CNN-3, composed of three hidden layers, achieved an accuracy of 99.6% for the American sign dataset.Alshomrani, Shroog...
ASL-LEX is a lexical database that catalogues information about nearly 1,000 signs in American Sign Language (ASL). It includes the following information: subjective frequency ratings from 25–31 deaf signers, iconicity ratings from 21–37 hearing non-signers, videoclip duration, sign length (ons...
to train our neural network. However, there were very few sign language data sets and the ones that did exist were of very low quality. As a result, we decided to create our own dataset. While the idea seems simple, it quickly became a problem for us as we took more and more ...
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In 2017, DeepL launchedDeepL Translateas its own separate product, asserting that its AI technology (based on the unique and proprietary dataset developed from Linguee) makes its translationsmore accurate than its competitors, a claim that appeals to its targeted clientele: multinational corporations, ...
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