[Update] README.md

README.md

@@ -1,3 +1,234 @@
----
-license: apache-2.0
----
+---
+license: cc-by-4.0
+language:
+- en
+- cs
+- es
+- fr
+- de
+- pt
+task_categories:
+- object-detection
+- image-segmentation
+tags:
+- computer-vision
+- object-detection
+- coco
+- webpage
+- ui
+- layout-analysis
+- accessibility
+- aria
+- document-layout
+pretty_name: WebUI-COCO-868
+size_categories:
+- n<1K
+---
+
+
+# WebUI-COCO-868: Annotated Webpage Screenshots for UI Region & Landmark Detection
+
+## Short description
+
+868 desktop webpage screenshots annotated with COCO bounding boxes over ARIA-style landmark regions and common UI components (cookie dialogs, popovers, captcha, buttons, etc.)
+
+## Dataset details
+
+- **Modality:** image (webpage screenshots)
+- **Annotation format:** COCO-style JSON (bounding boxes + class IDs, optional semantic attributes)
+- **Number of images:** **868**
+- **Label taxonomy:** ARIA landmark–inspired regions + UI-specific roles (see **Label set** below)
+- **Languages (in-page text):** multilingual, reflecting the source domains (primarily English/Czech/Spanish/French/German/Portuguese)
+
+## Supported tasks
+
+This dataset is intended primarily for:
+
+- **Object detection** of semantic webpage regions and UI components (bounding boxes).
+- Downstream uses include **web layout parsing**, **UI understanding**, and **accessibility-oriented landmark detection**.
+
+## Repository contents
+
+The dataset is organized into splits with images and per-image JSONs, plus merged COCO files per split:
+
+```
+├── annotations/
+│ ├── train_annotations.json
+│ ├── val_annotations.json
+│ └── test_annotations.json
+├── train/
+│ ├── *.png
+│ └── annotations/
+│ └── *.json
+├── val/
+│ ├── *.png
+│ └── annotations/
+│ └── *.json
+├── test/
+│ ├── *.png
+│ └── annotations/
+│ └── *.json
+└── split_info.txt
+```
+
+- `train/`, `val/`, `test/` contain PNG screenshots named like `123.png`.
+- `train/annotations/`, `val/annotations/`, `test/annotations/` contain **per-image** annotation JSON files named like `123.json`.
+- `annotations/*_annotations.json` are the **merged COCO** annotation files for each split.
+- `split_info.txt` documents how the split was produced (and/or which IDs belong to which split).
+
+
+## Annotation format
+
+Annotations are stored in **COCO-style JSON**. Each annotation contains:
+
+- `bbox` (x, y, width, height)
+- `category_id` (class ID)
+- (optional) additional semantic attributes, where applicable
+
+Annotators were instructed to label UI components at **semantically meaningful granularity**:
+- Composite widgets (e.g., dialogs) are treated as **containers**
+- Controls (e.g., buttons) are labeled as **individual entities**
+
+### Label set (categories)
+
+All classes included in this dataset:
+
+- `main`
+- `navigation`
+- `image`
+- `contentinfo`
+- `region`
+- `generic-button`
+- `banner`
+- `complementary`
+- `preferences-button`
+- `popover`
+- `close-button`
+- `search`
+- `cookie-dialog`
+- `accept-button`
+- `reject-button`
+- `form`
+- `captcha`
+
+## Dataset creation
+
+### Collection methodology
+
+The dataset was constructed to capture the **visual and semantic structure of real-world webpages**.
+
+Screenshots were collected using a custom automation pipeline built atop **`nodriver`** (a wrapper for the Chrome DevTools Protocol), enabling fine-grained control over headless browser instances and pixel-accurate rendering.
+
+Key collection details:
+
+- Each session launched **Chromium with Skia rendering** to ensure consistent visual fidelity.
+- Cookie consent modals and overlays were programmatically dismissed using **text-based heuristics** and **synthetic clicks**.
+- Domain-specific handlers were used to bypass obstructive UI (e.g., paywalls/popups) and ensure content visibility.
+- Full-page capture used a **scroll-and-stitch** approach:
+  - Incremental scrolling with overlapping screenshots
+  - Pinned headers/footers detected via pixel similarity to crop/align slices
+  - Pages were optionally stitched offline or stored as individual tiles
+- Request interception modified headers (e.g., `User-Agent`, `Referer`) and handled retry/abort logic to reduce failures on dynamic pages and bot protections.
+- Screenshots were saved in **timestamped directories** per crawl session.
+
+### Source domains
+
+Webpages were collected from a curated set of high-traffic international media domains to ensure diverse regional styles and layouts, including:
+
+- Bloomberg
+- Centrum
+- El Cronista
+- Financial Times
+- Folha de S.Paulo
+- Frankfurter Allgemeine Zeitung (Germany)
+- Handelsblatt
+- iRozhlas
+- La Nación
+- La Tribune
+- Les Echos
+- Lidovky
+- Novinky
+- Seznam
+- Seznam Zprávy
+- The Business Times
+- The Straits Times
+- The Wall Street Journal
+- Wikipedia
+
+## Quality control
+
+Annotation consistency was validated through:
+
+- Automated heuristics (shape validation, area bounds, basic sanity checks)
+- Manual review
+
+## Dataset metrics and diversity
+
+### Element distribution and imbalance
+
+The dataset exhibits a long-tail class distribution:
+
+- The most common class, **`region`**, occurs **> 9000** times.
+- Rare classes such as **`captcha`** and **`reject-button`** appear **< 25** times.
+
+This reflects real-world UI patterns: structural regions dominate the page, while edge-case elements are sparse.
+
+### Elements per image
+
+- Mean labeled elements per image: **33.6**
+- Some images contain **> 100** labeled elements
+- Most images include **~7–11 unique UI types**, indicating moderate layout diversity
+
+### Bounding box shape statistics
+
+Bounding boxes cover a broad range of shapes. Most elements are **horizontally elongated** (wider than tall), consistent with common UI layouts (headers, toolbars, banners). The aspect ratio distribution is skewed toward **wide** and **very wide** elements.
+
+Elements can be grouped by aspect ratio into:
+- very tall
+- tall
+- square-ish
+- wide
+- very wide
+
+Most elements fall into the **very wide** category.
+
+### Spatial layout patterns
+
+UI elements are not uniformly distributed across the screen:
+- concentration along typical layout bands (headers, sidebars, central content)
+- clustering patterns consistent with real-world desktop webpage layouts
+
+## Intended use
+
+This dataset is intended for **research and development** in:
+- UI element detection on real-world webpages
+- webpage semantic region detection (ARIA-style landmarks)
+- layout analysis and structured understanding of web interfaces
+
+## Limitations
+
+- **Long-tail imbalance:** rare UI elements (e.g., `captcha`, `reject-button`) have few examples.
+- **Domain coverage:** the dataset focuses on a curated set of high-traffic media/information sites and may not generalize to all web genres (e-commerce, web apps, dashboards, etc.).
+- **Visual-only labels:** annotations are based on screenshots. They do not include DOM structure or computed accessibility tree.
+
+## Legal and ethical considerations
+
+- Screenshots contain content rendered from third-party websites. Ensure your dataset **license and terms** are compatible with redistribution of rendered pages and any embedded media.
+- The crawling pipeline included logic to dismiss overlays and bypass obstructive UI to capture visible content. Users should consider whether this affects allowed redistribution and use.
+- The dataset may include incidental personal data if present on captured pages (e.g., author names, user prompts, etc.). Review and redact if needed.
+
+## License
+
+CC BY 4.0
+
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@dataset{webui_coco_868,
+  title     = {WebUI-COCO-868: Annotated Webpage Screenshots for UI Region and Landmark Detection},
+  author    = {Lukáš Jílek},
+  year      = {2026},
+  url       = {https://huggingface.co/datasets/TODO/WebUI-COCO-868}
+}