Upload and organize a Cats vs. Dogs dataset on Hugging Face Hub
Manage and orchestrate AI workflows and datasets
Speech Corpus Creation Tool
Upload files to a Hugging Face repository
Find and view synthetic data pipelines on Hugging Face
Generate synthetic datasets for AI training
Access NLPre-PL dataset and pre-trained models
Perform OSINT analysis, fetch URL titles, fine-tune models
Upload files to a Hugging Face repository
Display translation benchmark results from NTREX dataset
Transfer datasets from HuggingFace to ModelScope
Data annotation for Sparky
Explore datasets on a Nomic Atlas map
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.
• 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
pip install huggingface_hub
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.