Commit
·
a21dde3
1
Parent(s):
656300e
Improve UI with Tufte-inspired design principles
Browse files- Add model documentation and links to davanstrien/iconclass-vlm
- Simplify visual design: remove shadows, minimize borders, reduce clutter
- Make raw predictions collapsible (hidden by default)
- Switch to single-column layout for focused evaluation
- Improve typography: consistent sizing, lighter secondary text
- Minimize color palette: only grays and subtle green for matches
- Add CLAUDE.md documentation file
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <[email protected]>
- CLAUDE.md +46 -0
- index.html +156 -123
CLAUDE.md
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# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## Project Overview
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This is a Hugging Face Space that visualizes ICONCLASS predictions from the `davanstrien/iconclass-vlm` model compared to ground truth labels. It's a static web application that fetches and displays data from the `davanstrien/iconclass-sft-predictions` dataset.
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The model being evaluated is a fine-tuned vision-language model (based on Qwen/Qwen2.5-VL-3B-Instruct) that automatically classifies art and cultural heritage images using Iconclass notation. The visualization shows how well the model's predictions match the ground truth labels.
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## Architecture
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The project consists of a single-page web application:
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- `index.html`: Main application with embedded CSS and JavaScript
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- `style.css`: Additional styles (currently minimal, most styles are inline in index.html)
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- Uses the Hugging Face Datasets Server API to fetch data
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## Key Implementation Details
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### Data Source
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- Dataset: `davanstrien/iconclass-sft-predictions`
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- Config: `default`
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- Split: `test`
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- API endpoint: `https://datasets-server.huggingface.co/rows`
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### Data Structure
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Each row contains:
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- `images`: Array of image objects with `src` URLs
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- `iconclass-prediction`: Raw prediction text
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- `iconclass-predictions-parsed`: Parsed prediction labels array
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- `iconclass-gt-parsed`: Parsed ground truth labels array
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### Core Functionality
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- Lazy loading with pagination (10 images at a time)
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- Infinite scroll support
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- Visual comparison between predictions and ground truth
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- Match detection and scoring
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- Invalid label detection (labels containing "not a valid" or "invalid")
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## Development Notes
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Since this is a static Hugging Face Space (sdk: static), there's no build process or backend. All changes are made directly to the HTML/CSS files and are immediately reflected when deployed to Hugging Face Spaces.
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**Important**: The README.md file is not displayed in static Spaces. Any documentation or description about the Space must be added directly to the `index.html` file to be visible to users.
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To test locally, simply open `index.html` in a web browser.
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index.html
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<html>
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<head>
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<meta charset="UTF-8" />
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<
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<style>
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* {
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margin: 0;
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body {
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font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto,
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sans-serif;
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-
background:
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padding: 20px;
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line-height: 1.
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}
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.header {
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-
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margin
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padding:
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}
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h1 {
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-
font-size:
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font-weight: 600;
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color: #333;
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margin
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}
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-
.
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font-size: 14px;
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color: #666;
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}
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-
.
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-
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gap: 30px;
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max-width: 1200px;
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margin: 0 auto;
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}
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}
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.card {
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background: white;
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border
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overflow: hidden;
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-
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}
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.card img {
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width: 100%;
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height: auto;
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display: block;
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border-bottom: 1px solid #
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}
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.card-content {
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padding:
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}
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.raw-prediction {
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-
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-
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font-family: "SF Mono", Monaco, "Cascadia Code", monospace;
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font-size:
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color: #666;
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margin-bottom:
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word-break: break-all;
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}
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.comparison {
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display: grid;
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grid-template-columns: 1fr 1fr;
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gap: 20px;
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margin-top:
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}
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.column {
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}
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.column-title {
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font-weight:
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margin-bottom: 8px;
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color: #
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font-size:
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text-transform: uppercase;
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letter-spacing: 0.5px;
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}
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.label {
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padding: 6px
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margin:
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border-radius: 6px;
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position: relative;
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}
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/* Prediction styles */
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.prediction {
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border: 1px solid #d0deff;
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}
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.prediction.invalid {
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-
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border: 1px solid #ffcccc;
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color: #cc0000;
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text-decoration: line-through;
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opacity: 0.7;
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}
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.prediction.match {
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-
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}
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.prediction.match::before {
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content: "✓";
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position: absolute;
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left: -20px;
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color: #4caf50;
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font-weight: bold;
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}
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/* Ground truth styles */
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.ground-truth {
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-
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border: 1px solid #e0e0e0;
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}
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.ground-truth.matched {
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-
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-
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}
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/* Match
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.match-
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border-radius: 10px;
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font-size: 10px;
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font-weight: 600;
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}
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.controls {
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text-align: center;
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margin:
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}
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-
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padding: 12px 30px;
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border-radius: 8px;
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font-size: 14px;
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cursor: pointer;
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-
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}
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-
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transform: translateY(-1px);
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}
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-
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-
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cursor:
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-
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}
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.loading {
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text-align: center;
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padding:
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color: #
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font-size:
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}
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.loading.hidden {
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display: none;
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}
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-
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.score-badge {
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display: inline-block;
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margin-top: 10px;
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padding: 4px 12px;
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background: #f0f0f0;
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border-radius: 20px;
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font-size: 12px;
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color: #666;
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}
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-
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.score-badge.good {
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background: #e8f5e9;
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color: #2e7d32;
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}
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-
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.score-badge.poor {
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background: #fff3e0;
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color: #e65100;
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}
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</style>
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</head>
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<body>
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<div class="header">
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<h1>ICONCLASS
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<div class="stats">
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<span id="loadedCount">0</span>
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loaded
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</div>
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</div>
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<div id="gallery" class="gallery"></div>
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<div class="loading hidden" id="loading">Loading
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<div class="controls">
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<button id="loadMore">Load
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</div>
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<script>
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loadMoreBtn.disabled = true;
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loadMoreBtn.textContent = "All Images Loaded";
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} else {
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loadMoreBtn.textContent = `Load
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totalRows - currentOffset
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} remaining)`;
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}
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const content = document.createElement("div");
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content.className = "card-content";
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// Show raw prediction
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if (row["iconclass-prediction"]) {
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const rawDiv = document.createElement("div");
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rawDiv.className = "raw-prediction";
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rawDiv.textContent = row["iconclass-prediction"];
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content.appendChild(rawDiv);
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}
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comparison.appendChild(gtColumn);
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content.appendChild(comparison);
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// Add match
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const validPredictions = predictions.filter(
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(_, idx) => !invalidPredictions[idx]
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);
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? Math.round((matches.length / validPredictions.length) * 100)
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: 0;
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const
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-
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-
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-
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-
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content.appendChild(
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card.appendChild(content);
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gallery.appendChild(card);
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<html>
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>ICONCLASS Model Evaluation - davanstrien/iconclass-vlm</title>
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<style>
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* {
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margin: 0;
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body {
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font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto,
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sans-serif;
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background: white;
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padding: 20px;
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line-height: 1.5;
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color: #333;
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font-size: 14px;
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}
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.header {
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max-width: 800px;
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margin: 0 auto 30px;
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padding: 0;
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border-bottom: 1px solid #e5e5e5;
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+
padding-bottom: 20px;
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}
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h1 {
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font-size: 20px;
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font-weight: 600;
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color: #333;
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margin: 0 0 8px 0;
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}
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.subtitle {
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font-size: 14px;
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color: #666;
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margin: 0 0 12px 0;
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line-height: 1.4;
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}
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.subtitle a {
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color: #0066cc;
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text-decoration: none;
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}
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.subtitle a:hover {
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text-decoration: underline;
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}
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.description {
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font-size: 13px;
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color: #666;
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margin: 0 0 8px 0;
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line-height: 1.5;
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}
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+
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.stats {
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font-size: 11px;
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color: #999;
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margin: 0;
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}
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+
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+
.gallery {
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max-width: 800px;
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+
margin: 0 auto;
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}
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.card {
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background: white;
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border: 1px solid #e5e5e5;
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border-radius: 2px;
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overflow: hidden;
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+
margin-bottom: 20px;
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}
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.card img {
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width: 100%;
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height: auto;
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max-height: 500px;
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+
object-fit: contain;
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display: block;
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border-bottom: 1px solid #e5e5e5;
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background: #fafafa;
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}
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.card-content {
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padding: 15px;
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}
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+
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.raw-toggle {
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font-size: 11px;
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color: #999;
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cursor: pointer;
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margin-bottom: 12px;
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user-select: none;
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font-family: "SF Mono", Monaco, "Cascadia Code", monospace;
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}
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+
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.raw-toggle:hover {
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color: #666;
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}
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| 108 |
.raw-prediction {
|
| 109 |
+
display: none;
|
| 110 |
+
background: #fafafa;
|
| 111 |
+
padding: 8px;
|
| 112 |
+
border: 1px solid #e5e5e5;
|
| 113 |
+
border-radius: 2px;
|
| 114 |
font-family: "SF Mono", Monaco, "Cascadia Code", monospace;
|
| 115 |
+
font-size: 11px;
|
| 116 |
color: #666;
|
| 117 |
+
margin-bottom: 15px;
|
| 118 |
word-break: break-all;
|
| 119 |
+
line-height: 1.4;
|
| 120 |
+
}
|
| 121 |
+
|
| 122 |
+
.raw-prediction.visible {
|
| 123 |
+
display: block;
|
| 124 |
}
|
| 125 |
|
| 126 |
.comparison {
|
| 127 |
display: grid;
|
| 128 |
grid-template-columns: 1fr 1fr;
|
| 129 |
gap: 20px;
|
| 130 |
+
margin-top: 0;
|
| 131 |
}
|
| 132 |
|
| 133 |
.column {
|
|
|
|
| 135 |
}
|
| 136 |
|
| 137 |
.column-title {
|
| 138 |
+
font-weight: 400;
|
| 139 |
margin-bottom: 8px;
|
| 140 |
+
color: #999;
|
| 141 |
+
font-size: 10px;
|
|
|
|
| 142 |
letter-spacing: 0.5px;
|
| 143 |
+
text-transform: uppercase;
|
| 144 |
}
|
| 145 |
|
| 146 |
.label {
|
| 147 |
+
padding: 3px 0 3px 6px;
|
| 148 |
+
margin: 2px 0;
|
|
|
|
| 149 |
position: relative;
|
| 150 |
+
border-left: 2px solid transparent;
|
| 151 |
+
font-size: 13px;
|
| 152 |
+
line-height: 1.4;
|
| 153 |
+
}
|
| 154 |
+
|
| 155 |
+
.label:hover {
|
| 156 |
+
background: #fafafa;
|
| 157 |
}
|
| 158 |
|
| 159 |
/* Prediction styles */
|
| 160 |
.prediction {
|
| 161 |
+
color: #333;
|
|
|
|
| 162 |
}
|
| 163 |
|
| 164 |
.prediction.invalid {
|
| 165 |
+
color: #999;
|
|
|
|
|
|
|
| 166 |
text-decoration: line-through;
|
|
|
|
| 167 |
}
|
| 168 |
|
| 169 |
.prediction.match {
|
| 170 |
+
border-left-color: #4caf50;
|
| 171 |
+
font-weight: 500;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 172 |
}
|
| 173 |
|
| 174 |
/* Ground truth styles */
|
| 175 |
.ground-truth {
|
| 176 |
+
color: #333;
|
|
|
|
| 177 |
}
|
| 178 |
|
| 179 |
.ground-truth.matched {
|
| 180 |
+
border-left-color: #4caf50;
|
| 181 |
+
font-weight: 500;
|
| 182 |
+
}
|
| 183 |
+
|
| 184 |
+
/* Match statistics */
|
| 185 |
+
.match-stats {
|
| 186 |
+
font-size: 11px;
|
| 187 |
+
color: #999;
|
| 188 |
+
margin-top: 10px;
|
| 189 |
+
padding-top: 10px;
|
| 190 |
+
border-top: 1px solid #f0f0f0;
|
|
|
|
|
|
|
|
|
|
| 191 |
}
|
| 192 |
|
| 193 |
.controls {
|
| 194 |
text-align: center;
|
| 195 |
+
margin: 30px 0;
|
| 196 |
+
padding-top: 20px;
|
| 197 |
}
|
| 198 |
|
| 199 |
+
.load-more {
|
| 200 |
+
color: #0066cc;
|
| 201 |
+
text-decoration: none;
|
| 202 |
+
font-size: 13px;
|
|
|
|
|
|
|
|
|
|
| 203 |
cursor: pointer;
|
| 204 |
+
background: none;
|
| 205 |
+
border: none;
|
| 206 |
+
padding: 0;
|
| 207 |
+
font-family: inherit;
|
| 208 |
}
|
| 209 |
|
| 210 |
+
.load-more:hover {
|
| 211 |
+
text-decoration: underline;
|
|
|
|
| 212 |
}
|
| 213 |
|
| 214 |
+
.load-more:disabled {
|
| 215 |
+
color: #999;
|
| 216 |
+
cursor: default;
|
| 217 |
+
text-decoration: none;
|
| 218 |
}
|
| 219 |
|
| 220 |
.loading {
|
| 221 |
text-align: center;
|
| 222 |
+
padding: 10px;
|
| 223 |
+
color: #999;
|
| 224 |
+
font-size: 12px;
|
| 225 |
}
|
| 226 |
|
| 227 |
.loading.hidden {
|
| 228 |
display: none;
|
| 229 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 230 |
</style>
|
| 231 |
</head>
|
| 232 |
<body>
|
| 233 |
<div class="header">
|
| 234 |
+
<h1>ICONCLASS Model Evaluation</h1>
|
| 235 |
+
<div class="subtitle">
|
| 236 |
+
Comparing predictions from <a href="https://huggingface.co/davanstrien/iconclass-vlm" target="_blank">davanstrien/iconclass-vlm</a> against ground truth labels
|
| 237 |
+
</div>
|
| 238 |
+
<div class="description">
|
| 239 |
+
A vision-language model fine-tuned on Qwen2.5-VL-3B for classifying art and cultural heritage images using ICONCLASS notation — a hierarchical classification system for art and iconography.
|
| 240 |
+
</div>
|
| 241 |
<div class="stats">
|
| 242 |
+
Showing <span id="loadedCount">0</span> of <span id="totalCount">-</span> test images
|
|
|
|
| 243 |
</div>
|
| 244 |
</div>
|
| 245 |
|
| 246 |
<div id="gallery" class="gallery"></div>
|
| 247 |
|
| 248 |
+
<div class="loading hidden" id="loading">Loading...</div>
|
| 249 |
|
| 250 |
<div class="controls">
|
| 251 |
+
<button id="loadMore" class="load-more">Load more images</button>
|
| 252 |
</div>
|
| 253 |
|
| 254 |
<script>
|
|
|
|
| 300 |
loadMoreBtn.disabled = true;
|
| 301 |
loadMoreBtn.textContent = "All Images Loaded";
|
| 302 |
} else {
|
| 303 |
+
loadMoreBtn.textContent = `Load more images (${
|
| 304 |
totalRows - currentOffset
|
| 305 |
} remaining)`;
|
| 306 |
}
|
|
|
|
| 334 |
const content = document.createElement("div");
|
| 335 |
content.className = "card-content";
|
| 336 |
|
| 337 |
+
// Show raw prediction (collapsible)
|
| 338 |
if (row["iconclass-prediction"]) {
|
| 339 |
+
const toggleDiv = document.createElement("div");
|
| 340 |
+
toggleDiv.className = "raw-toggle";
|
| 341 |
+
toggleDiv.textContent = "+ Show raw prediction";
|
| 342 |
+
|
| 343 |
const rawDiv = document.createElement("div");
|
| 344 |
rawDiv.className = "raw-prediction";
|
| 345 |
rawDiv.textContent = row["iconclass-prediction"];
|
| 346 |
+
|
| 347 |
+
toggleDiv.addEventListener("click", () => {
|
| 348 |
+
if (rawDiv.classList.contains("visible")) {
|
| 349 |
+
rawDiv.classList.remove("visible");
|
| 350 |
+
toggleDiv.textContent = "+ Show raw prediction";
|
| 351 |
+
} else {
|
| 352 |
+
rawDiv.classList.add("visible");
|
| 353 |
+
toggleDiv.textContent = "− Hide raw prediction";
|
| 354 |
+
}
|
| 355 |
+
});
|
| 356 |
+
|
| 357 |
+
content.appendChild(toggleDiv);
|
| 358 |
content.appendChild(rawDiv);
|
| 359 |
}
|
| 360 |
|
|
|
|
| 432 |
comparison.appendChild(gtColumn);
|
| 433 |
content.appendChild(comparison);
|
| 434 |
|
| 435 |
+
// Add match statistics
|
| 436 |
const validPredictions = predictions.filter(
|
| 437 |
(_, idx) => !invalidPredictions[idx]
|
| 438 |
);
|
|
|
|
| 441 |
? Math.round((matches.length / validPredictions.length) * 100)
|
| 442 |
: 0;
|
| 443 |
|
| 444 |
+
const statsDiv = document.createElement("div");
|
| 445 |
+
statsDiv.className = "match-stats";
|
| 446 |
+
statsDiv.textContent = validPredictions.length > 0
|
| 447 |
+
? `${matches.length}/${validPredictions.length} matches`
|
| 448 |
+
: `No valid predictions`;
|
| 449 |
+
content.appendChild(statsDiv);
|
| 450 |
|
| 451 |
card.appendChild(content);
|
| 452 |
gallery.appendChild(card);
|