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SignAll Dataset

Dataset Summary

The SignAll Dataset is a small dataset designed for sign language recognition. It consists of labeled images representing individual signs in American Sign Language (ASL). Each image is paired with a corresponding text label, making it suitable for image classification and sign language recognition tasks.

Dataset Structure

The dataset is organized into three splits:

Split Number of Examples
Train 3
Test 1
Validation 1

Each example consists of:

  • An image of a hand sign.
  • A text label representing the corresponding ASL sign.

Dataset Details

  • License: MIT
  • Languages: English (text labels), Visual (images of signs)
  • Tags: Education, Sign Language, ASL

Data Fields

  • image: An image file representing a hand sign.
  • text: A string indicating the corresponding ASL letter.

Usage

This dataset can be used for:

  • Sign language recognition: Training machine learning models to recognize ASL hand signs.
  • Computer vision research: Developing image classification techniques.
  • Educational purposes: Teaching and demonstrating ASL recognition.

Example Usage

from datasets import load_dataset

dataset = load_dataset("hasin023/signall-dataset")
image, label = dataset["train"][0]["image"], dataset["train"][0]["text"]

print("Label:", label)
image.show()
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