WebClasSeg25-visual-fc

Conatains website screenshots and the corresponding segmentation masks. page_id can be used as a key for other WebClasSeg25 sub sets.

WebClasSeg25 Dataset Collection

The WebClasSeg25 dataset series provides structured data for webpage segment detection, offering both functional segmentation (FC) and maturity classification (MC). The datasets are designed for accessibility and ease of use in model training, with different levels of granularity.

Dataset Collection Overview

WebClasSeg25-html

• Contains the full HTML code of each website.
• Each page is assigned a unique key, which links it to the segmentation datasets.

WebClasSeg25-visual-fc

• Provides visual segmentations based on functional classification.
• Each segmented page is linked to its corresponding HTML file using a shared key.

WebClasSeg25-visual-mc

• Provides visual segmentations based on maturity classification.
• Each segmented page is linked to its corresponding HTML file using a shared key.

WebClasSeg25-html-nodes-mc

• Contains individual HTML nodes for each page, labeled according to maturity classification.
• Includes parent, node, and children classifications.
• Provides a unique key per page and per node.

WebClasSeg25-html-nodes-fc

• Contains individual HTML nodes for each page, labeled according to functional classification.
• Includes parent, node, and children classifications.
• Provides a unique key per page and per node.

Dataset Relationships

• The WebClasSeg25-html dataset serves as the foundation, containing the full HTML structure.
• The visual segmentation datasets (FC & MC) offer page-level segmentation linked to the HTML dataset via keys.
• The node-level datasets (FC & MC) break down HTML into individual elements, assigning functional or maturity classifications while maintaining linkage to their parent and children nodes.

This dataset collection is structured to support a wide range of segmentation tasks, making it easier to train and evaluate models across different levels of webpage structure.