Upload and organize a Cats vs. Dogs dataset on Hugging Face Hub
Find and view synthetic data pipelines on Hugging Face
Curate and manage datasets for AI and machine learning
Validate JSONL format for fine-tuning
Access NLPre-PL dataset and pre-trained models
Create a domain-specific dataset project
Display trending datasets from Hugging Face
Browse and view Hugging Face datasets
Display trending datasets and spaces
Explore recent datasets from Hugging Face Hub
Count tokens in datasets and plot distribution
Explore, annotate, and manage datasets
Data annotation for Sparky
Cats Dogs Dataset Builder is a tool designed to help users create and organize datasets for image classification tasks involving cats and dogs. It streamlines the process of uploading and managing images, making it easier to build datasets for training machine learning models. The tool integrates seamlessly with the Hugging Face Hub, enabling users to share and access datasets efficiently.
cats and dogs) and add labels if needed.What file formats does the tool support?
The Cats Dogs Dataset Builder supports JPG, PNG, and other common image formats. Ensure your images are in one of these formats before uploading.
How do I handle class imbalance in my dataset?
You can manually adjust the number of images in each category (cats or dogs) during the upload process or use sampling techniques after dataset creation.
Can I add additional labels or tags to the images?
Yes, the tool allows you to add custom labels or tags to images for more specific classification tasks or metadata enrichment.