Number-hand-sign
Number-hand-sign
Datasets
Number-hand-sign
File
Number-hand-sign
Use Case
Number-hand-sign
Description
Explore the SIGNS Dataset, featuring labeled hand gestures for numbers 0 to 5. Ideal for AI training, CNN-based image classification, and gesture recognition projects
Description:
The SIGNS Dataset is a labeled collection of hand gestures representing numbers 0 to 5, designed for training and testing AI models. It includes files, making it ideal for CNN-based image classification and gesture recognition projects.
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The SIGNS Dataset is a compact and valuable resource for developing AI models focused on hand gesture recognition. It features labeled data representing six distinct signs corresponding to the numbers 0 to 5, making it an excellent choice for researchers and developers working on classification tasks using Convolutional Neural Networks (CNNs).
Key Features of the SIGNS Dataset
Dataset Files:
- Â Training data for building models.
- Testing data for model evaluation.
Number of Classes: 6 (numbers from 0 to 5).
Applications: Ideal for hand gesture recognition, image classification, and AI model development.
Benefits of Using the SIGNS Dataset
- Focused Scope: The dataset is tailored for numbers 0 to 5, making it streamlined for beginner and intermediate projects.
- Learning Opportunity: Offers a practical way to understand CNNs and improve AI skills.
- Real-World Relevance: Useful for applications like sign language interpretation, gesture-controlled interfaces, and educational AI tools.
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