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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>Image Annotation Tool for AI Dataset</title>
<script src="https://cdn.tailwindcss.com"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
<style>
.dropzone {
border: 2px dashed #9ca3af;
transition: all 0.3s;
}
.dropzone.active {
border-color: #3b82f6;
background-color: rgba(59, 130, 246, 0.05);
}
.preview-image {
max-height: 60vh;
object-fit: contain;
}
.saved-item:hover .saved-item-actions {
opacity: 1;
}
.saved-item-thumbnail {
height: 80px;
width: 80px;
object-fit: cover;
}
</style>
</head>
<body class="bg-gray-50 min-h-screen">
<div class="container mx-auto px-4 py-8">
<!-- Header -->
<header class="mb-8 text-center">
<h1 class="text-3xl font-bold text-indigo-700 mb-2">Image Annotation Tool</h1>
<p class="text-gray-600">
Create a dataset for AI image generation by annotating images with descriptive prompts
</p>
</header>
<!-- Main Content -->
<div class="grid lg:grid-cols-2 gap-8">
<!-- Annotation Section -->
<div class="bg-white rounded-xl shadow-md overflow-hidden p-6">
<h2 class="text-xl font-semibold text-gray-800 mb-4 flex items-center">
<i class="fas fa-image-upload mr-2 text-indigo-500"></i>
Upload & Annotate
</h2>
<!-- Image Dropzone -->
<div
id="dropzone"
class="dropzone rounded-lg p-8 text-center mb-6 cursor-pointer hover:bg-gray-50"
>
<input type="file" id="fileInput" accept="image/*" class="hidden">
<div id="dropzoneContent" class="space-y-2">
<div class="text-indigo-500 text-4xl mb-2">
<i class="fas fa-cloud-arrow-up"></i>
</div>
<p class="text-gray-700 font-medium">Drag & drop an image here</p>
<p class="text-gray-500 text-sm">or click to browse files (JPEG, PNG, WEBP)</p>
</div>
<div id="imagePreview" class="hidden">
<img id="previewImage" src="#" alt="Preview" class="preview-image mx-auto mb-4">
<button
id="changeImageBtn"
class="text-sm text-indigo-600 hover:text-indigo-800 font-medium"
>
<i class="fas fa-sync-alt mr-1"></i> Change Image
</button>
</div>
</div>
<!-- Prompt Input -->
<div class="mb-6">
<label for="prompt" class="block text-sm font-medium text-gray-700 mb-2">
<i class="fas fa-comment-dots mr-1 text-indigo-500"></i>
Descriptive Prompt
</label>
<div class="relative">
<textarea
id="prompt"
rows="4"
class="block w-full px-4 py-3 border border-gray-300 rounded-lg focus:ring-2 focus:ring-indigo-500 focus:border-indigo-500 resize-none"
placeholder="Write a detailed description of the image that could be used to generate a similar image with AI..."
></textarea>
<div class="absolute bottom-2 right-2 text-xs text-gray-500">
<span id="charCount">0</span>/500
</div>
</div>
</div>
<!-- Metadata -->
<div class="grid grid-cols-2 gap-4 mb-6">
<div>
<label for="tags" class="block text-sm font-medium text-gray-700 mb-2">
<i class="fas fa-tags mr-1 text-indigo-500"></i>
Tags
</label>
<input
type="text"
id="tags"
class="block w-full px-4 py-2 border border-gray-300 rounded-lg focus:ring-2 focus:ring-indigo-500 focus:border-indigo-500"
placeholder="tag1, tag2, tag3"
>
</div>
<div>
<label for="category" class="block text-sm font-medium text-gray-700 mb-2">
<i class="fas fa-folder-open mr-1 text-indigo-500"></i>
Category
</label>
<select
id="category"
class="block w-full px-4 py-2 border border-gray-300 rounded-lg focus:ring-2 focus:ring-indigo-500 focus:border-indigo-500"
>
<option value="">Select a category</option>
<option value="nature">Nature</option>
<option value="portrait">Portrait</option>
<option value="architecture">Architecture</option>
<option value="art">Art</option>
<option value="product">Product</option>
<option value="other">Other</option>
</select>
</div>
</div>
<!-- Save Button -->
<button
id="saveBtn"
class="w-full bg-indigo-600 hover:bg-indigo-700 text-white font-medium py-3 px-4 rounded-lg transition duration-200 disabled:opacity-50 disabled:cursor-not-allowed"
disabled
>
<i class="fas fa-save mr-2"></i> Save Annotation
</button>
</div>
<!-- Saved Annotations Section -->
<div class="bg-white rounded-xl shadow-md overflow-hidden p-6">
<div class="flex justify-between items-center mb-4">
<h2 class="text-xl font-semibold text-gray-800 flex items-center">
<i class="fas fa-database mr-2 text-indigo-500"></i>
Your Dataset
</h2>
<button
id="exportBtn"
class="text-sm bg-emerald-100 hover:bg-emerald-200 text-emerald-800 font-medium py-2 px-3 rounded-lg transition duration-200"
>
<i class="fas fa-file-export mr-1"></i> Export JSON
</button>
</div>
<div id="savedItems" class="space-y-3 max-h-[60vh] overflow-y-auto pr-2">
<div class="text-center py-10 text-gray-400">
<i class="fas fa-box-open text-3xl mb-2"></i>
<p>Your saved annotations will appear here</p>
</div>
</div>
<div class="mt-4 text-sm text-gray-500 flex justify-between items-center">
<div>
<span id="itemCount">0</span> annotations
</div>
<div>
<span id="dataSize">0 KB</span>
</div>
</div>
</div>
</div>
</div>
<!-- Success Toast -->
<div id="toast" class="fixed bottom-4 right-4 bg-green-100 border-l-4 border-green-500 text-green-700 p-4 rounded-lg shadow-lg hidden max-w-xs transition-all duration-300 transform translate-x-32">
<div class="flex items-start">
<div class="flex-shrink-0 pt-0.5">
<i class="fas fa-check-circle text-green-500 text-xl"></i>
</div>
<div class="ml-3">
<p class="font-medium">Annotation saved!</p>
<p id="toastMessage" class="text-sm">Your image and prompt have been added to the dataset.</p>
</div>
<button id="closeToast" class="ml-4 text-green-700 hover:text-green-900 focus:outline-none">
<i class="fas fa-times"></i>
</button>
</div>
</div>
<script>
// DOM Elements
const fileInput = document.getElementById('fileInput');
const dropzone = document.getElementById('dropzone');
const dropzoneContent = document.getElementById('dropzoneContent');
const imagePreview = document.getElementById('imagePreview');
const previewImage = document.getElementById('previewImage');
const changeImageBtn = document.getElementById('changeImageBtn');
const prompt = document.getElementById('prompt');
const tags = document.getElementById('tags');
const category = document.getElementById('category');
const charCount = document.getElementById('charCount');
const saveBtn = document.getElementById('saveBtn');
const exportBtn = document.getElementById('exportBtn');
const savedItems = document.getElementById('savedItems');
const itemCount = document.getElementById('itemCount');
const dataSize = document.getElementById('dataSize');
const toast = document.getElementById('toast');
const toastMessage = document.getElementById('toastMessage');
const closeToast = document.getElementById('closeToast');
// Dataset array to store all annotations
let dataset = [];
// Event Listeners
dropzone.addEventListener('click', () => fileInput.click());
dropzone.addEventListener('dragover', (e) => {
e.preventDefault();
dropzone.classList.add('active');
});
dropzone.addEventListener('dragleave', () => {
dropzone.classList.remove('active');
});
dropzone.addEventListener('drop', handleDrop);
fileInput.addEventListener('change', handleFileSelect);
changeImageBtn.addEventListener('click', () => fileInput.click());
prompt.addEventListener('input', updateSaveButtonState);
prompt.addEventListener('input', updateCharCount);
saveBtn.addEventListener('click', saveAnnotation);
exportBtn.addEventListener('click', exportDataset);
closeToast.addEventListener('click', () => toast.classList.add('hidden'));
// Functions
function handleDrop(e) {
e.preventDefault();
dropzone.classList.remove('active');
if (e.dataTransfer.files.length) {
fileInput.files = e.dataTransfer.files;
handleFileSelect();
}
}
function handleFileSelect() {
const file = fileInput.files[0];
if (!file || !file.type.match('image.*')) return;
const reader = new FileReader();
reader.onload = function(e) {
previewImage.src = e.target.result;
dropzoneContent.classList.add('hidden');
imagePreview.classList.remove('hidden');
updateSaveButtonState();
};
reader.readAsDataURL(file);
}
function updateCharCount() {
const count = prompt.value.length;
charCount.textContent = count;
if (count > 500) {
charCount.classList.add('text-red-500');
} else {
charCount.classList.remove('text-red-500');
}
}
function updateSaveButtonState() {
saveBtn.disabled = !(previewImage.src !== '#' && prompt.value.trim().length > 0);
}
function saveAnnotation() {
if (previewImage.src === '#' || !prompt.value.trim()) return;
const reader = new FileReader();
reader.onload = function(e) {
const base64Image = e.target.result;
const annotation = {
id: Date.now().toString(),
image: base64Image,
prompt: prompt.value.trim(),
tags: tags.value.split(',').map(tag => tag.trim()).filter(tag => tag),
category: category.value,
createdAt: new Date().toISOString()
};
dataset.unshift(annotation);
updateDatasetDisplay();
// Reset form
fileInput.value = '';
previewImage.src = '#';
prompt.value = '';
tags.value = '';
category.value = '';
dropzoneContent.classList.remove('hidden');
imagePreview.classList.add('hidden');
updateCharCount();
updateSaveButtonState();
// Show success toast
toastMessage.textContent = `"${annotation.prompt.substring(0, 20)}${annotation.prompt.length > 20 ? '...' : ''}" added to dataset.`;
toast.classList.remove('hidden');
// Auto hide toast
setTimeout(() => toast.classList.add('hidden'), 3000);
};
reader.readAsDataURL(fileInput.files[0]);
}
function updateDatasetDisplay() {
if (dataset.length === 0) {
savedItems.innerHTML = `
<div class="text-center py-10 text-gray-400">
<i class="fas fa-box-open text-3xl mb-2"></i>
<p>Your saved annotations will appear here</p>
</div>
`;
itemCount.textContent = '0';
dataSize.textContent = '0 KB';
return;
}
// Calculate data size
const jsonString = JSON.stringify(dataset);
const sizeInKB = Math.round(new Blob([jsonString]).size / 1024);
dataSize.textContent = `${sizeInKB} KB`;
itemCount.textContent = dataset.length;
savedItems.innerHTML = dataset.map(item => `
<div class="saved-item group bg-gray-50 rounded-lg p-3 hover:bg-gray-100 transition duration-200 relative">
<div class="flex gap-3">
<div class="flex-shrink-0">
<img src="${item.image}" alt="Thumbnail" class="saved-item-thumbnail rounded">
</div>
<div class="min-w-0">
<p class="text-sm font-medium text-gray-800 truncate">${item.prompt.substring(0, 80)}${item.prompt.length > 80 ? '...' : ''}</p>
<div class="flex items-center text-xs text-gray-500 mt-1">
${item.category ? `<span class="mr-2"><i class="fas fa-folder-open mr-1"></i>${item.category}</span>` : ''}
${item.tags.length ? `<span><i class="fas fa-tags mr-1"></i>${item.tags.slice(0, 2).join(', ')}${item.tags.length > 2 ? '...' : ''}</span>` : ''}
</div>
</div>
</div>
<div class="saved-item-actions opacity-0 group-hover:opacity-100 absolute right-3 top-3 transition duration-200">
<button class="delete-btn text-red-500 hover:text-red-700 p-1" data-id="${item.id}">
<i class="fas fa-trash"></i>
</button>
</div>
</div>
`).join('');
// Add event listeners to delete buttons
document.querySelectorAll('.delete-btn').forEach(btn => {
btn.addEventListener('click', function() {
const id = this.getAttribute('data-id');
dataset = dataset.filter(item => item.id !== id);
updateDatasetDisplay();
// Show deletion toast
toastMessage.textContent = 'Annotation removed from dataset.';
toast.classList.remove('hidden');
toast.classList.remove('bg-green-100', 'border-green-500', 'text-green-700');
toast.classList.add('bg-red-100', 'border-red-500', 'text-red-700');
// Auto hide toast
setTimeout(() => {
toast.classList.add('hidden');
toast.classList.remove('bg-red-100', 'border-red-500', 'text-red-700');
toast.classList.add('bg-green-100', 'border-green-500', 'text-green-700');
}, 3000);
});
});
}
function exportDataset() {
if (dataset.length === 0) {
toastMessage.textContent = 'No annotations to export. Please add some first.';
toast.classList.remove('hidden');
toast.classList.remove('bg-green-100', 'border-green-500', 'text-green-700');
toast.classList.add('bg-yellow-100', 'border-yellow-500', 'text-yellow-700');
setTimeout(() => {
toast.classList.add('hidden');
toast.classList.remove('bg-yellow-100', 'border-yellow-500', 'text-yellow-700');
toast.classList.add('bg-green-100', 'border-green-500', 'text-green-700');
}, 3000);
return;
}
const jsonString = JSON.stringify(dataset, null, 2);
const blob = new Blob([jsonString], { type: 'application/json' });
const url = URL.createObjectURL(blob);
const a = document.createElement('a');
a.href = url;
a.download = `image-dataset-${new Date().toISOString().slice(0, 10)}.json`;
document.body.appendChild(a);
a.click();
document.body.removeChild(a);
toastMessage.textContent = `Dataset exported with ${dataset.length} annotations.`;
toast.classList.remove('hidden');
setTimeout(() => toast.classList.add('hidden'), 3000);
}
</script>
<p style="border-radius: 8px; text-align: center; font-size: 12px; color: #fff; margin-top: 16px;position: fixed; left: 8px; bottom: 8px; z-index: 10; background: rgba(0, 0, 0, 0.8); padding: 4px 8px;">Made with <a href="https://enzostvs-deepsite.hf.space" style="color: #fff;" target="_blank" >DeepSite</a> <img src="https://enzostvs-deepsite.hf.space/logo.svg" alt="DeepSite Logo" style="width: 16px; height: 16px; vertical-align: middle;"></p></body>
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