Skip to content

Commit

Permalink
Update Docs for 'ultralytics - 0ff75e3'
Browse files Browse the repository at this point in the history
  • Loading branch information
UltralyticsAssistant committed Nov 27, 2024
1 parent 0ff75e3 commit 6c27ec9
Show file tree
Hide file tree
Showing 2 changed files with 7 additions and 7 deletions.
12 changes: 6 additions & 6 deletions integrations/albumentations/index.html
Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@
<script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
<script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
<script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
<meta content="Albumentations" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Albumentations, YOLO11, data augmentation, Ultralytics, computer vision, object detection, model training, image transformations, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/integrations/albumentations" property="og:url"/><meta content="Albumentations" property="og:title"/><meta content="Learn how to use Albumentations with YOLO11 to enhance data augmentation, improve model performance, and streamline your computer vision projects." property="og:description"/><meta content="https://github.com/ultralytics/docs/releases/download/0/albumentations-augmentation.avif" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/integrations/albumentations" property="twitter:url"/><meta content="Albumentations" property="twitter:title"/><meta content="Learn how to use Albumentations with YOLO11 to enhance data augmentation, improve model performance, and streamline your computer vision projects." property="twitter:description"/><meta content="https://github.com/ultralytics/docs/releases/download/0/albumentations-augmentation.avif" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": ["Article", "FAQPage"], "headline": "Albumentations", "image": ["https://github.com/ultralytics/docs/releases/download/0/albumentations-augmentation.avif"], "datePublished": "2024-11-05 05:52:46 +0530", "dateModified": "2024-11-11 00:52:54 +0100", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Learn how to use Albumentations with YOLO11 to enhance data augmentation, improve model performance, and streamline your computer vision projects.", "mainEntity": [{"@type": "Question", "name": "How can I integrate Albumentations with YOLO11 for improved data augmentation?", "acceptedAnswer": {"@type": "Answer", "text": "Albumentations integrates seamlessly with YOLO11 and applies automatically during training if you have the package installed. Here's how to get started: The integration includes optimized augmentations like blur, median blur, grayscale conversion, and CLAHE with carefully tuned probabilities to enhance model performance."}}, {"@type": "Question", "name": "What are the key benefits of using Albumentations over other augmentation libraries?", "acceptedAnswer": {"@type": "Answer", "text": "Albumentations stands out for several reasons:"}}, {"@type": "Question", "name": "What types of computer vision tasks can benefit from Albumentations augmentation?", "acceptedAnswer": {"@type": "Answer", "text": "Albumentations enhances various computer vision tasks including: The library's diverse augmentation options make it valuable for any vision task requiring robust model performance."}}]}</script></head>
<meta content="Albumentations" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Albumentations, YOLO11, data augmentation, Ultralytics, computer vision, object detection, model training, image transformations, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/integrations/albumentations" property="og:url"/><meta content="Albumentations" property="og:title"/><meta content="Learn how to use Albumentations with YOLO11 to enhance data augmentation, improve model performance, and streamline your computer vision projects." property="og:description"/><meta content="https://github.com/ultralytics/docs/releases/download/0/albumentations-augmentation.avif" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/integrations/albumentations" property="twitter:url"/><meta content="Albumentations" property="twitter:title"/><meta content="Learn how to use Albumentations with YOLO11 to enhance data augmentation, improve model performance, and streamline your computer vision projects." property="twitter:description"/><meta content="https://github.com/ultralytics/docs/releases/download/0/albumentations-augmentation.avif" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": ["Article", "FAQPage"], "headline": "Albumentations", "image": ["https://github.com/ultralytics/docs/releases/download/0/albumentations-augmentation.avif"], "datePublished": "2024-11-05 05:52:46 +0530", "dateModified": "2024-11-27 14:37:25 +0100", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Learn how to use Albumentations with YOLO11 to enhance data augmentation, improve model performance, and streamline your computer vision projects.", "mainEntity": [{"@type": "Question", "name": "How can I integrate Albumentations with YOLO11 for improved data augmentation?", "acceptedAnswer": {"@type": "Answer", "text": "Albumentations integrates seamlessly with YOLO11 and applies automatically during training if you have the package installed. Here's how to get started: The integration includes optimized augmentations like blur, median blur, grayscale conversion, and CLAHE with carefully tuned probabilities to enhance model performance."}}, {"@type": "Question", "name": "What are the key benefits of using Albumentations over other augmentation libraries?", "acceptedAnswer": {"@type": "Answer", "text": "Albumentations stands out for several reasons:"}}, {"@type": "Question", "name": "What types of computer vision tasks can benefit from Albumentations augmentation?", "acceptedAnswer": {"@type": "Answer", "text": "Albumentations enhances various computer vision tasks including: The library's diverse augmentation options make it valuable for any vision task requiring robust model performance."}}]}</script></head>
<body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
<input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
<input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
Expand Down Expand Up @@ -922,7 +922,7 @@ <h2 id="why-should-you-use-albumentations-for-your-vision-ai-projects">Why Shoul
<h2 id="how-to-use-albumentations-to-augment-data-for-yolo11-training">How to Use Albumentations to Augment Data for YOLO11 Training</h2>
<p>Now that we've covered what Albumentations is and what it can do, let's look at how to use it to augment your data for YOLO11 model training. It's easy to set up because it integrates directly into <a href="../../modes/train/">Ultralytics' training mode</a> and applies automatically if you have the Albumentations package installed.</p>
<h3 id="installation">Installation</h3>
<p>To use Albumentations with YOLOv11, start by making sure you have the necessary packages installed. If Albumentations isn't installed, the augmentations won't be applied during training. Once set up, you'll be ready to create an augmented dataset for training, with Albumentations integrated to enhance your model automatically.</p>
<p>To use Albumentations with YOLO11, start by making sure you have the necessary packages installed. If Albumentations isn't installed, the augmentations won't be applied during training. Once set up, you'll be ready to create an augmented dataset for training, with Albumentations integrated to enhance your model automatically.</p>
<div class="admonition tip">
<p class="admonition-title">Installation</p>
<div class="tabbed-set tabbed-alternate" data-tabs="1:1"><input checked="checked" id="__tabbed_1_1" name="__tabbed_1" type="radio"><div class="tabbed-labels"><label for="__tabbed_1_1">CLI</label></div>
Expand All @@ -937,7 +937,7 @@ <h3 id="installation">Installation</h3>
</div>
<p>For detailed instructions and best practices related to the installation process, check our <a href="../../quickstart/">Ultralytics Installation guide</a>. While installing the required packages for YOLO11, if you encounter any difficulties, consult our <a href="../../guides/yolo-common-issues/">Common Issues guide</a> for solutions and tips.</p>
<h3 id="usage">Usage</h3>
<p>After installing the necessary packages, you're ready to start using Albumentations with YOLO11. When you train YOLOv11, a set of augmentations is automatically applied through its integration with Albumentations, making it easy to enhance your model's performance.</p>
<p>After installing the necessary packages, you're ready to start using Albumentations with YOLO11. When you train YOLO11, a set of augmentations is automatically applied through its integration with Albumentations, making it easy to enhance your model's performance.</p>
<div class="admonition example">
<p class="admonition-title">Usage</p>
<div class="tabbed-set tabbed-alternate" data-tabs="2:1"><input checked="checked" id="__tabbed_2_1" name="__tabbed_2" type="radio"><div class="tabbed-labels"><label for="__tabbed_2_1">Python</label></div>
Expand Down Expand Up @@ -1064,12 +1064,12 @@ <h3 id="what-types-of-computer-vision-tasks-can-benefit-from-albumentations-augm
<span class="date-item" title="This page was first created on November 05, 2024">
<span class="hover-item">📅</span> Created 22 days ago
</span>
<span class="date-item" title="This page was last updated on November 11, 2024">
<span class="hover-item">✏️</span> Updated 16 days ago
<span class="date-item" title="This page was last updated on November 27, 2024">
<span class="hover-item">✏️</span> Updated 0 days ago
</span>
</div>
<div class="authors-container">
<a class="author-link" href="https://github.com/glenn-jocher" title="glenn-jocher (1 change)">
<a class="author-link" href="https://github.com/glenn-jocher" title="glenn-jocher (2 changes)">
<img alt="glenn-jocher" class="hover-item" loading="lazy" src="https://avatars.githubusercontent.com/u/26833433?v=4&amp;s=96"/>
</a>
<a class="author-link" href="https://github.com/RizwanMunawar" title="RizwanMunawar (1 change)">
Expand Down
2 changes: 1 addition & 1 deletion integrations/index.html
Original file line number Diff line number Diff line change
Expand Up @@ -972,7 +972,7 @@ <h3 id="how-do-i-deploy-ultralytics-yolo-models-with-gradio-for-interactive-demo
<span class="hover-item">📅</span> Created 1 year ago
</span>
<span class="date-item" title="This page was last updated on November 11, 2024">
<span class="hover-item">✏️</span> Updated 15 days ago
<span class="hover-item">✏️</span> Updated 16 days ago
</span>
</div>
<div class="authors-container">
Expand Down

0 comments on commit 6c27ec9

Please sign in to comment.