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.

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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

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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

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Watch this to learn more:

Curating Dataset Tutorial

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Ready to Create your Pod? Once you've prepared your dataset, head to Creating a Pod → to start training.