Apple researchers have released Pico-Banana-400K, a comprehensive dataset of 400,000 curated images that's been specifically designed to improve how AI systems edit photos based on text prompts.
The massive dataset aims to address what Apple describes as a gap in current AI image editing training. While systems like GPT-4o can make impressive edits, the researchers say progress has been limited by inadequate training data built from real photographs. Apple's new dataset aims to improve the situation.
Pico-Banana-400K features images organized into 35 different edit types across eight categories, from basic adjustments like color changes to complex transformations such as converting people into Pixar-style characters or LEGO figures. Each image went through Apple's AI-powered quality control system, with Google's Gemini-2.5-Pro being used to evaluate the results based on instruction compliance and technical quality.
The dataset also includes three specialized subsets: 258,000 single-edit examples for basic training, 56,000 preference pairs comparing successful and failed edits, and 72,000 multi-turn sequences showing how images evolve through multiple consecutive edits.
Apple built the dataset using Google's Gemini-2.5-Flash-Image (aka Nano-Banana) editing model, which was released just a few months ago. However, Apple's research revealed its limitations. While global style changes succeeded 93% of the time, precise tasks like relocating objects or editing text seriously struggled, with success rates below 60%.
Despite the limitations, researchers say their aim with Pico-Banana-400K is to establish "a robust foundation for training and benchmarking the next generation of text-guided image editing models." The complete dataset is freely available for non-commercial research use on GitHub, so developers can use it to train more capable image editing AI.
Thursday February 5, 2026 12:54 pm PST by Joe Rossignol
Apple turns 50 this year, and its CEO Tim Cook has promised to celebrate the milestone. The big day falls on April 1, 2026.
"I've been unusually reflective lately about Apple because we have been working on what do we do to mark this moment," Cook told employees today, according to Bloomberg's Mark Gurman. "When you really stop and pause and think about the last 50 years, it makes your heart ...
Friday February 6, 2026 3:06 pm PST by Juli Clover
In the iOS 26.4 update that's coming this spring, Apple will introduce a new version of Siri that's going to overhaul how we interact with the personal assistant and what it's able to do.
The iOS 26.4 version of Siri won't work like ChatGPT or Claude, but it will rely on large language models (LLMs) and has been updated from the ground up.
Upgraded Architecture
The next-generation...
Thursday February 5, 2026 12:22 pm PST by Joe Rossignol
Apple plans to announce the iPhone 17e on Thursday, February 19, according to Macwelt, the German equivalent of Macworld.
The report, citing industry sources, is available in English on Macworld.
Apple announced the iPhone 16e on Wednesday, February 19 last year, so the iPhone 17e would be unveiled exactly one year later if this rumor is accurate. It is quite uncommon for Apple to unveil...
Tuesday February 3, 2026 7:47 am PST by Joe Rossignol
While the iOS 26.3 Release Candidate is now available ahead of a public release, the first iOS 26.4 beta is likely still at least a week away. Following beta testing, iOS 26.4 will likely be released to the general public in March or April.
Below, we have recapped known or rumored iOS 26.3 and iOS 26.4 features so far.
iOS 26.3
iPhone to Android Transfer Tool
iOS 26.3 makes it easier...
The iPhone 18 Pro Max will feature a bigger battery for continued best-in-class battery life, according to a known Weibo leaker.
Citing supply chain information, the Weibo user known as "Digital Chat Station" said that the iPhone 18 Pro Max will have a battery capacity of 5,100 to 5,200 mAh. Combined with the efficiency improvements of the A20 Pro chip, made with TSMC's 2nm process, the...
Anyone who has used any of the AI tools knows none of them are ready for Prime Time. None of them. That is why I always say it's just echo-chamber nonsense to say Apple or anyone is behind in this nacent quickly evolving open source media. That ALL of them have been RUSHED to market without adequate testing goes without saying.
There is immense room for improvement with just the low hanging fruit of better training data. And here we see Apple showing they certainly know that.
Anyone who has used any of the AI tools knows none of them are ready for Prime Time. None of them. That is why I always say it's just echo-chamber nonsense to say Apple or anyone is behind in this nacent quickly evolving open source media. That ALL of them have been RUSHED to market without adequate testing goes without saying.
There is immense room for improvement with just the low hanging fruit of better training data. And here we see Apple showing they certainly know that.
And as someone who uses AI tools everyday for work, you cannot be more incorrect.
