Embracing the Dark Side: Detecting and Repairing Inconsistencies between Light and Dark Modes of Web Applications

anonymous

doi:10.5281/zenodo.17141637

Published September 19, 2025 | Version v3

Conference paper Open

Embracing the Dark Side: Detecting and Repairing Inconsistencies between Light and Dark Modes of Web Applications

anonymous

The dataset consists of light and dark mode screenshots in screen-size "iPhone 12 Pro" along with UPstage OCR detection and JSON file, UIED GUI element detection and JSON file.

This collection of datasets is used to identify the GUI inconsistency between light and dark modes.

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ChromaEye_v1.zip

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Conference paper

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Zenodo

Conference

International Conference on Software Engineering (ICSE) (ICSE) , Rio de Janeiro, April 12-18 2026 (Session 48th)

License: Creative Commons Attribution 4.0 International

The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

Technical metadata

Created: September 19, 2025
Modified: September 19, 2025

Embracing the Dark Side: Detecting and Repairing Inconsistencies between Light and Dark Modes of Web Applications

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Files

ChromaEye_v1.zip

Files (42.9 GB)