Curating dataset
Collect and prepare images that share the same style and aesthetic
Think of your Pod as a unique lens that daisy can switch in and out. The key to successful Pod training is gathering images that all belong to the same visual family - similar style, mood, and artistic approach.
Gathering Your Images
Where to Find Images
Your own library: Personal photography or artwork
Stock sources: Unsplash, Pexels, or other free image sites
Curated collections: Any source with consistent style examples
What to Look For
✅ Do this:
Choose images with similar artistic styles
Keep consistent color palettes and lighting
Focus on the same overall aesthetic and mood
Stick to similar subjects (all landscapes, all portraits, etc.)
❌ Avoid this:
Mixing people with scenes or landscapes
Combining different artistic styles (realistic + illustrated)
Using different color themes or lighting conditions
Including images that don't fit the visual pattern
Technical Requirements
Image Specs
Format: JPG or PNG
Resolution: Minimum 1000px on one side
Quality: High-resolution, not heavily compressed
Quantity: 4-15 images (6-8 recommended for best results)
Preparation Tips
Use image editing tools like Figma to resize and organize
Check resolution before finalizing your set
Export all images in consistent format
Remove any outliers that don't match the style
Watch this to learn more:
Ready to Create your Pod? Once you've prepared your dataset, head to Creating a Pod → to start training.
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