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.

Download Dataset

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:

    •  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

  1. Focused Scope: The dataset is tailored for numbers 0 to 5, making it streamlined for beginner and intermediate projects.
  2. Learning Opportunity: Offers a practical way to understand CNNs and improve AI skills.
  3. Real-World Relevance: Useful for applications like sign language interpretation, gesture-controlled interfaces, and educational AI tools.

This dataset is sourced from Kaggle.

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