apple/pico-banana-400k resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1845 stars · 81 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A large-scale dataset of ~400K text-image-edit triplets for text-guided image editing research, built from Open Images using Nano-Banana edits with Gemini-based quality verification. It includes single-turn SFT data, preference-learning pairs, and multi-turn editing examples spanning 35 edit operations across 8 semantic categories.

Use cases

• train a text-guided image editing model
• fine-tune an image editing model with instruction data
• build preference learning data for image edits
• research multi-turn image editing
• evaluate image editing model quality
• train diffusion models for instruction-based editing

When to choose

• training or fine-tuning instruction-guided image editing models
• researching preference optimization or robustness with failure cases
• needing diverse, quality-filtered edit triplets at scale

When to avoid

• needing fully human-annotated edits rather than model-generated ones
• requiring images outside 512-1024px resolution
• projects needing a permissive license (license is custom/unspecified)

Facets

dataset · maturity active

machine-learning data-generation image-processing machine-learning computer-vision image-processing artificial-intelligence python cross-platform image-editing text-guided-editing instruction-tuning preference-learning multimodal sft open-images nano-banana gemini

Member repositories

For agents

markdown · JSON · MCP: product_card(name="apple/pico-banana-400k")