Apple has released Pico-Banana-400K, a highly curated 400,000-image research dataset which, interestingly, was built using ...

A new Apple research paper argues that AI imaging editors are currently trained on inadequate image sets — so Apple ...

In addition to the main dataset, which contains 257K images created using single-turn text–image–edit prompts, Pico-Banana-400K includes three specialized subsets. The first, with 72K examples, ...

Apple wants to help researchers and developers build better AI models with its dataset, even when it struggles to do so ...

The massive dataset aims to address what Apple describes as a gap in current AI image editing training. While systems like ...

News from Apple's AI research department: With Pico-Banana-400K and Google's Gemini-2.5-Pro along with Nano Banana, images ...

K, a large-scale, high-quality image editing dataset distilled from Nana-Banana across 35 editing types. 🔗 Data link: 🔗Paper link: It includes 258K single-turn image editing data, 72K ...

Apple's AI researchers have released a dataset to help train AI image editors. The dataset, Pico-Banana-400K, contains 400,000 images, as well as many successful and failed edits to help train other ...

Apple has released the Pico-Banana-400K dataset, packed with 400,000 real and AI-edited images to help researchers make smarter, text-guided image editing tools. It's free for non-commercial research ...