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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>LayoutLMv3 Invoice Annotation Guide</title>
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<style>
.annotation-card:hover {
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<body class="bg-gray-50 font-sans">
<header class="bg-blue-600 text-white shadow-lg">
<div class="container mx-auto px-4 py-6">
<div class="flex justify-between items-center">
<div>
<h1 class="text-3xl font-bold">Invoice Annotation for LayoutLMv3</h1>
<p class="mt-2">A comprehensive guide to preparing your dataset</p>
</div>
<div class="hidden md:block">
<img src="https://via.placeholder.com/80" alt="AI Icon" class="h-16 w-16 rounded-full border-2 border-white">
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<main class="container mx-auto px-4 py-8">
<section class="mb-12">
<div class="bg-white rounded-xl shadow-md p-6 mb-8">
<h2 class="text-2xl font-semibold text-blue-700 mb-4">Getting Started with Annotation</h2>
<p class="text-gray-700 mb-4">Proper annotation is crucial for training LayoutLMv3 to understand invoices. This guide walks you through the process of creating a high-quality dataset.</p>
<div class="grid grid-cols-1 md:grid-cols-3 gap-6 mt-6">
<div class="annotation-card bg-white border border-gray-200 rounded-lg p-6 transition-all duration-300">
<div class="text-blue-500 mb-4">
<i class="fas fa-file-invoice-dollar text-4xl"></i>
</div>
<h3 class="text-xl font-semibold mb-2">1. Collect Samples</h3>
<p class="text-gray-600">Gather 50 diverse invoice samples representing different layouts, languages, and formats you expect to process.</p>
</div>
<div class="annotation-card bg-white border border-gray-200 rounded-lg p-6 transition-all duration-300">
<div class="text-green-500 mb-4">
<i class="fas fa-tags text-4xl"></i>
</div>
<h3 class="text-xl font-semibold mb-2">2. Define Labels</h3>
<p class="text-gray-600">Create a consistent label schema (e.g., vendor_name, invoice_date, total_amount) that covers all relevant fields.</p>
</div>
<div class="annotation-card bg-white border border-gray-200 rounded-lg p-6 transition-all duration-300">
<div class="text-purple-500 mb-4">
<i class="fas fa-mouse-pointer text-4xl"></i>
</div>
<h3 class="text-xl font-semibold mb-2">3. Choose Tools</h3>
<p class="text-gray-600">Select annotation tools like Label Studio, VGG Image Annotator, or custom solutions that support bounding boxes and text.</p>
</div>
</div>
</div>
</section>
<section class="mb-12">
<div class="bg-white rounded-xl shadow-md p-6">
<h2 class="text-2xl font-semibold text-blue-700 mb-4">Annotation Process Details</h2>
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<h3 class="text-xl font-semibold mb-3">Key Annotation Steps</h3>
<ol class="list-decimal list-inside space-y-3 text-gray-700">
<li class="font-medium">Draw bounding boxes around each relevant text element</li>
<li>Assign the appropriate label to each box</li>
<li>Include the OCR-extracted text content</li>
<li>Mark relationships between elements (optional)</li>
<li>Validate annotations for consistency</li>
</ol>
</div>
<div class="md:w-1/2">
<img src="https://via.placeholder.com/500x300" alt="Annotation Example" class="w-full rounded-lg border border-gray-200">
</div>
</div>
</div>
<div class="mt-6">
<h3 class="text-xl font-semibold mb-3">Common Invoice Fields to Annotate</h3>
<div class="grid grid-cols-2 md:grid-cols-4 gap-4">
<div class="bg-blue-50 p-3 rounded-lg">
<h4 class="font-medium text-blue-700">Header Fields</h4>
<ul class="mt-2 text-sm text-gray-600">
<li>Invoice Number</li>
<li>Invoice Date</li>
<li>Due Date</li>
<li>Vendor Name</li>
</ul>
</div>
<div class="bg-green-50 p-3 rounded-lg">
<h4 class="font-medium text-green-700">Customer Info</h4>
<ul class="mt-2 text-sm text-gray-600">
<li>Customer Name</li>
<li>Customer Address</li>
<li>Customer ID</li>
<li>Tax ID</li>
</ul>
</div>
<div class="bg-yellow-50 p-3 rounded-lg">
<h4 class="font-medium text-yellow-700">Line Items</h4>
<ul class="mt-2 text-sm text-gray-600">
<li>Description</li>
<li>Quantity</li>
<li>Unit Price</li>
<li>Line Total</li>
</ul>
</div>
<div class="bg-purple-50 p-3 rounded-lg">
<h4 class="font-medium text-purple-700">Totals</h4>
<ul class="mt-2 text-sm text-gray-600">
<li>Subtotal</li>
<li>Tax Amount</li>
<li>Discount</li>
<li>Total Amount</li>
</ul>
</div>
</div>
</div>
</div>
</section>
<section class="mb-12">
<div class="bg-white rounded-xl shadow-md p-6">
<h2 class="text-2xl font-semibold text-blue-700 mb-4">Tools & Resources</h2>
<div class="grid grid-cols-1 md:grid-cols-2 gap-6">
<div class="border border-gray-200 rounded-lg p-5">
<h3 class="text-xl font-semibold mb-3 flex items-center">
<i class="fas fa-tools text-blue-500 mr-2"></i>
Annotation Tools
</h3>
<ul class="space-y-2">
<li>
<a href="https://labelstud.io/" target="_blank" class="text-blue-600 hover:underline flex items-center">
<i class="fas fa-external-link-alt mr-2 text-sm"></i>
Label Studio - Open source annotation tool
</a>
</li>
<li>
<a href="https://www.robots.ox.ac.uk/~vgg/software/via/" target="_blank" class="text-blue-600 hover:underline flex items-center">
<i class="fas fa-external-link-alt mr-2 text-sm"></i>
VGG Image Annotator (VIA)
</a>
</li>
<li>
<a href="https://docs.microsoft.com/en-us/azure/cognitive-services/form-recognizer/label-tool" target="_blank" class="text-blue-600 hover:underline flex items-center">
<i class="fas fa-external-link-alt mr-2 text-sm"></i>
Azure Form Recognizer Labeling Tool
</a>
</li>
</ul>
</div>
<div class="border border-gray-200 rounded-lg p-5">
<h3 class="text-xl font-semibold mb-3 flex items-center">
<i class="fas fa-book text-green-500 mr-2"></i>
Documentation
</h3>
<ul class="space-y-2">
<li>
<a href="https://huggingface.co/docs/transformers/model_doc/layoutlmv3" target="_blank" class="text-blue-600 hover:underline flex items-center">
<i class="fas fa-external-link-alt mr-2 text-sm"></i>
LayoutLMv3 Official Documentation
</a>
</li>
<li>
<a href="https://arxiv.org/abs/2204.08387" target="_blank" class="text-blue-600 hover:underline flex items-center">
<i class="fas fa-external-link-alt mr-2 text-sm"></i>
LayoutLMv3 Research Paper
</a>
</li>
<li>
<a href="https://github.com/microsoft/unilm/tree/master/layoutlmv3" target="_blank" class="text-blue-600 hover:underline flex items-center">
<i class="fas fa-external-link-alt mr-2 text-sm"></i>
GitHub Repository
</a>
</li>
</ul>
</div>
</div>
<div class="mt-6 bg-blue-50 rounded-lg p-5">
<h3 class="text-xl font-semibold mb-3 text-blue-700">Sample Annotation Format</h3>
<pre class="bg-white p-4 rounded-md overflow-x-auto text-sm">
{
"image_path": "invoice_001.jpg",
"width": 2480,
"height": 3508,
"annotations": [
{
"label": "vendor_name",
"bbox": [320, 120, 800, 160],
"text": "ACME Corporation"
},
{
"label": "invoice_number",
"bbox": [1600, 120, 2000, 160],
"text": "INV-2023-0042"
},
{
"label": "invoice_date",
"bbox": [1600, 180, 2000, 220],
"text": "2023-06-15"
}
]
}</pre>
<p class="mt-3 text-sm text-gray-600">This JSON structure shows how annotated data should be formatted for LayoutLMv3 training.</p>
</div>
</div>
</section>
<section class="mb-12">
<div class="bg-white rounded-xl shadow-md p-6">
<h2 class="text-2xl font-semibold text-blue-700 mb-4">Next Steps After Annotation</h2>
<div class="grid grid-cols-1 md:grid-cols-2 gap-6">
<div class="bg-gradient-to-r from-blue-50 to-purple-50 rounded-lg p-6">
<h3 class="text-xl font-semibold mb-3 flex items-center">
<i class="fas fa-cogs text-purple-500 mr-2"></i>
Training Process
</h3>
<ol class="list-decimal list-inside space-y-2 text-gray-700">
<li>Split your dataset (70% train, 15% validation, 15% test)</li>
<li>Configure LayoutLMv3 model parameters</li>
<li>Start with a small learning rate (e.g., 5e-5)</li>
<li>Monitor loss and accuracy metrics</li>
<li>Adjust hyperparameters as needed</li>
</ol>
</div>
<div class="bg-gradient-to-r from-green-50 to-blue-50 rounded-lg p-6">
<h3 class="text-xl font-semibold mb-3 flex items-center">
<i class="fas fa-chart-line text-green-500 mr-2"></i>
Evaluation Metrics
</h3>
<ul class="space-y-2 text-gray-700">
<li><span class="font-medium">Field-level F1 score:</span> Precision and recall for each field type</li>
<li><span class="font-medium">Exact match accuracy:</span> Percentage of perfectly extracted fields</li>
<li><span class="font-medium">Partial match accuracy:</span> For numeric fields with small deviations</li>
<li><span class="font-medium">OCR quality impact:</span> Compare with ground truth OCR</li>
</ul>
</div>
</div>
<div class="mt-6 bg-yellow-50 rounded-lg p-5">
<h3 class="text-xl font-semibold mb-3 text-yellow-700">Scaling Up</h3>
<p class="text-gray-700">Once you validate the approach with your 50-sample dataset, consider:</p>
<ul class="list-disc list-inside mt-2 space-y-1 text-gray-700">
<li>Creating annotation guidelines for your team</li>
<li>Implementing quality control processes</li>
<li>Exploring semi-supervised learning techniques</li>
<li>Using data augmentation for layout variations</li>
</ul>
</div>
</div>
</section>
<section class="bg-blue-600 text-white rounded-xl shadow-lg p-8">
<div class="max-w-3xl mx-auto text-center">
<h2 class="text-3xl font-bold mb-4">Ready to Start Annotating?</h2>
<p class="text-xl mb-6">Get started with your invoice annotation project today and unlock the power of LayoutLMv3 for document understanding.</p>
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<i class="fas fa-envelope mr-2"></i> Contact for Help
</a>
<a href="https://github.com/microsoft/unilm/tree/master/layoutlmv3" target="_blank" class="bg-blue-800 text-white font-semibold px-6 py-3 rounded-lg hover:bg-blue-700 transition duration-300">
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<h3 class="text-xl font-semibold mb-4">About LayoutLMv3</h3>
<p class="text-gray-300">LayoutLMv3 is a state-of-the-art multimodal pre-trained model for document understanding, combining text, layout, and image information.</p>
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<h3 class="text-xl font-semibold mb-4">Quick Links</h3>
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<li><a href="https://huggingface.co/docs/transformers/model_doc/layoutlmv3" target="_blank" class="text-gray-300 hover:text-white">Model Documentation</a></li>
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