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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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