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Pico-Banana-400K: A Large-Scale Dataset for Text-Guided Image Editing research paper by Apple, 2025

Apple · Oct 22, 2025 · Retrieval and data · 62 citations · 30 upvotes · unverified

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What it shows

Pico-Banana-400K is a large-scale, high-quality dataset for instruction-based image editing, featuring diverse edit pairs, multi-turn editing, preference subsets, and long-short instruction pairs, enabling comprehensive research and benchmarking.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Yusu Qian, Eli Bocek-Rivele, Liangchen Song and 5 more
arXiv
2510.19808 · PDF
Venue
arXiv.org
Citations
62, 5 influential · Semantic Scholar
Upvotes
30 · Hugging Face
Code
github.com/apple/pico-banana-400k
Lab
Apple · on Companies · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 5Sep 25, 2026
Citationsfirst count: 62Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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