Cats Dogs Dataset Builder

What is Cats Dogs Dataset Builder ?

Cats Dogs Dataset Builder is a tool designed to simplify the process of creating and organizing datasets for cat and dog image classification tasks. It allows users to efficiently upload and manage their dataset directly on the Hugging Face Hub, making it accessible for machine learning model training and experimentation.

Features

• User-friendly interface for easy dataset management
• Direct integration with Hugging Face Hub for seamless dataset hosting
• Customizable dataset structure to organize cat and dog images
• Support for batch uploads to streamline dataset creation
• Version control to track changes and updates to your dataset
• Compatibility with popular machine learning frameworks for easy integration into training pipelines

How to use Cats Dogs Dataset Builder ?

1. Create a Hugging Face Hub account if you don’t already have one
2. Install the Hugging Face Dataset library using pip

   pip install huggingface_hub
   

3. Prepare your dataset by organizing cat and dog images into separate folders
4. Use the Cats Dogs Dataset Builder tool to upload your dataset to Hugging Face Hub
5. Configure dataset settings, such as dataset name, description, and version
6. Publish your dataset and share it with the machine learning community

Frequently Asked Questions

How do I get started with Cats Dogs Dataset Builder?
To get started, simply create a Hugging Face Hub account, install the Hugging Face Dataset library, and follow the tool's guided steps to upload and organize your dataset.

What file formats are supported?
The tool supports common image formats such as JPEG, PNG, and BMP. Ensure your images are properly organized in separate folders for cats and dogs.

Can I update my dataset after publishing?
Yes, you can update your dataset by modifying the files and pushing the changes to Hugging Face Hub. The platform supports version control, allowing you to track updates.