ASL Alphabet Sign Language Dataset

This dataset is a collection of American Sign Language (ASL) images, divided into 29 folders, representing different categories.

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The ASL Alphabet Sign Language Dataset contains images of letters of the American Sign Language, which are divided into 29 categories, representing different sign language letters and symbols. The image size in the dataset is unified to 200×200 pixels, and the training dataset contains 87,000 images. In addition to the 26 English letters, it also includes three categories: SPACE, DELETE, and NOTHING, which are very useful in real-time applications and classification. The test dataset is smaller, containing only 29 images, which is intended to encourage researchers to use more real-world test images for model evaluation.

• The ASL alphabet sign language dataset can be used for the following AI tasks:

1. Image Classification: Classify sign language letter images into corresponding letter categories.
2. Gesture Recognition: Recognize and classify different sign language gestures, including letters and specific symbols.
3. Real-time sign language interpretation: Translate sign language letters into text form to assist hearing-impaired people in communicating.
4. Auxiliary educational tools: Helps learners learn and practice American Sign Language.
5. Machine Learning Model Training: Used to train and test various image recognition and classification algorithms.

• This dataset belongs to the following categories:

1. Visual Recognition Datasets: Focus on the fields of visual pattern recognition and image processing.
2. Language and Speech Datasets: Although sign language is a visual language, this dataset is relevant to language processing and speech recognition tasks.
3. Assistive Technology Dataset: Support the development of assistive technologies to help people with hearing impairments better communicate with the world.
4. Multi-class classification dataset: Contains multiple categories and is used for multi-category image classification tasks.

Specifically, the ASL alphabet sign language dataset provides a rich sample of sign language images, which is suitable for developing and training customized neural network models for sign language recognition.