image
imagewidth (px) 640
1k
| text
stringclasses 1
value |
---|---|
A |
|
A |
|
A |
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()
- Downloads last month
- 27