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docling-project/ScreenParser

Object Detection·docling-project· 584· 1
ultralytics apache-2.0 Object Detection dataset:docling-project/screenparsearxiv:2602.14276license:apache-2.0region:us

ScreenParser is a YOLO-based UI element detector fine-tuned on ScreenParse, a large-scale dataset of web page screenshots with dense UI annotations across 55 UI element classes. Given a screenshot, it detects and classifies visible UI components with bounding boxes and confidence scores.

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# pull & run locally
pip install mlforge-sdk && mlforge pull docling-project/ScreenParser

Model details

Task
Object Detection
Provider
docling-project
Framework
ultralytics
Size
195 MB
License
apache-2.0
Downloads
584
Likes
1
Paper
arXiv:2602.14276
Updated
2026-05-29

About docling-project/ScreenParser

ScreenParser is a YOLO-based UI element detector fine-tuned on ScreenParse, a large-scale dataset of web page screenshots with dense UI annotations across 55 UI element classes. Given a screenshot, it detects and classifies visible UI components with bounding boxes and confidence scores.

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