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  • The ATLAS 300×250 master creative in the centre, with labelled arrows fanning out to the same ad rebuilt at 728×90, 300×600, 160×600 and two different 320×50 versions.

    Evaluating CoDesign MCP performance in resizing

    Six models, one approved banner, and the same brief: rebuild it for five ad sizes. All six came back with ads you could traffic, one of them for thirty cents. Here is what our automated checks can prove about that work, and what they cannot.

  • CE.SDK v1.80 Release Notes

    CE.SDK v1.80 Release Notes

    Easier-to-navigate Android documentation across core editing workflows, plus reliability fixes and improvements across the SDK.

  • The IMG.LY pixel-art mascot in a paint-flecked beret, palette in hand, painting the IMG.LY logo onto a canvas on an easel

    AI Design Agents in 2026: Which One Fits Your Work

    Six AI design agents grouped by the work they suit: app screens, campaign assets, or design inside a larger task. Each entry says what you can still edit once the agent stops.

  • A benchmark run in three parts: the prompt for an "Aurelia" logo wordmark on the left, a list of image models in the middle with Nano Banana Pro selected, and the generated AURELIA wordmark on a transparency checkerboard on the right.

    Introducing IMG.LY AI Benchmarks

    We ran 15 image models through 37 production design prompts and published every score, every prompt and every generated image. Why we built it, why the scores are weighted per job, and the result that surprised us most.

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Introducing CoDesign. A free local MCP server that gives your agent design superpowers.
Evaluating CoDesign MCP performance in resizing. Six models, one approved banner, and the same brief: rebuild it for five ad sizes. All six came back with ads you could traffic, one of them for thirty cents. Here is what our automated checks can prove about that work, and what they cannot.
Hi I'm Leonard

Leonard

2 posts
A Remote Data Aggregation Pipeline to Provide Machine Learning Datasets

A Remote Data Aggregation Pipeline to Provide Machine Learning Datasets

This blog explores how we aggregate datasets remotely, keep track of already generated datasets, and download datasets from a remote server using a generalizable architecture pattern.

16 Apr 2021•14 min read
Machine Learning AI
Smart Cropping - Automatically crop images to optimal regions with deep neural networks

Smart Cropping - Automatically crop images to optimal regions with deep neural networks

Many websites ask you to upload images in specific aspect ratios. Smart cropping allows you to automatically find such images for any aspect ratio. It's powered by Convolutional Neural Networks, predicting the salient areas of a picture. We describe how smart cropping works and why it's important.

24 Jul 2020•6 min read
Deep Learning Machine Learning Artificial Intelligence AI Insights

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