Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
10K - 100K
License:
Update README.md
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README.md
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This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 34,627 samples of American Sign Language (ASL) alphabet images, converted from the original Kaggle Sign Language MNIST dataset into a format optimized for computer vision workflows.
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## Installation
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If you haven't already, install FiftyOne:
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# Load the dataset
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# Note: other available arguments include 'max_samples', etc
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dataset = load_from_hub("andandandand/American-Sign-Language-MNIST"
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# Launch the App
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session = fo.launch_app(dataset)
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This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 34,627 samples of American Sign Language (ASL) alphabet images, converted from the original Kaggle Sign Language MNIST dataset into a format optimized for computer vision workflows.
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## Installation
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If you haven't already, install FiftyOne:
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# Load the dataset
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# Note: other available arguments include 'max_samples', etc
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dataset = load_from_hub("andandandand/American-Sign-Language-MNIST",
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max_samples=200)
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# Launch the App
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session = fo.launch_app(dataset)
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