Spanish Sign Language Alphabet

Description:

The Spanish Sign Language Alphabet dataset consists of 19 static letters and 8 dynamic movements. It was created with the aim of supporting machine learning models for sign language recognition, particularly the Spanish sign language alphabet.

Dataset Composition

The dataset contains around 100 images for each of the 19 static letters. Each image was captured over a white background with high-quality cameras. These images represent three different hands at a uniform distance, simulating the perspective from an internal smartphone camera.

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Expert Validation

To ensure high accuracy, the dataset was reviewed and validated by a certified expert in Spanish sign language. This guarantees that each letter is correctly represented, making the dataset a valuable resource for machine learning applications.

Applications

This dataset is ideal for training models in:

Gesture and static sign language recognition

Computer vision projects focused on human-computer interaction

Accessibility technology development for the hearing-impaired community

Benefits of the Dataset

High-quality, standardized images

Multiple hand perspectives ensure model robustness

Realistic simulation of smartphone camera view for practical applications

Suitable for researchers focusing on AI, sign language translation, and accessibility solutions

Potential Use Cases

AI and Machine Learning: Can be used to train AI models for recognizing static signs.

Computer Vision: Enhances projects in gesture recognition and human-computer interaction.

Accessibility Technology: Advances sign language translation for hearing-impaired users.

This dataset is sourced from Kaggle.