5.7 sec in total
709 ms
4.1 sec
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Learn Computer Vision, Deep Learning with OpenCV, PyTorch, Keras, & Tensorflow: Code + Tutorials
Visit learnopencv.comWe analyzed Learnopencv.com page load time and found that the first response time was 709 ms and then it took 5 sec to load all DOM resources and completely render a web page. This is a poor result, as 70% of websites can load faster.
learnopencv.com performance score
name
value
score
weighting
Value3.2 s
44/100
10%
Value3.3 s
69/100
25%
Value3.2 s
92/100
10%
Value220 ms
88/100
30%
Value0
100/100
15%
Value4.4 s
84/100
10%
709 ms
73 ms
134 ms
209 ms
220 ms
Our browser made a total of 40 requests to load all elements on the main page. We found that 53% of them (21 requests) were addressed to the original Learnopencv.com, 10% (4 requests) were made to Bigvisionllc.leadpages.net and 10% (4 requests) were made to Fonts.gstatic.com. The less responsive or slowest element that took the longest time to load (709 ms) belongs to the original domain Learnopencv.com.
Page size can be reduced by 312.6 kB (25%)
1.3 MB
948.6 kB
In fact, the total size of Learnopencv.com main page is 1.3 MB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 45% of websites need less resources to load. Images take 838.9 kB which makes up the majority of the site volume.
Potential reduce by 34.8 kB
HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. HTML code on this page is well minified. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 34.8 kB or 79% of the original size.
Potential reduce by 15.1 kB
Image size optimization can help to speed up a website loading time. The chart above shows the difference between the size before and after optimization. Learn OpenCV images are well optimized though.
Potential reduce by 147.5 kB
It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. It is highly recommended that all JavaScript files should be compressed and minified as it can save up to 147.5 kB or 67% of the original size.
Potential reduce by 115.2 kB
CSS files minification is very important to reduce a web page rendering time. The faster CSS files can load, the earlier a page can be rendered. Learnopencv.com needs all CSS files to be minified and compressed as it can save up to 115.2 kB or 72% of the original size.
Number of requests can be reduced by 17 (50%)
34
17
The browser has sent 34 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Learn OpenCV. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 13 to 1 for JavaScripts and from 6 to 1 for CSS and as a result speed up the page load time.
www.learnopencv.com
709 ms
wp-emoji-release.min.js
73 ms
quicklatex-format.css
134 ms
style.css
209 ms
dashicons.min.css
220 ms
css
24 ms
font-awesome.css
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style.css
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jquery.js
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jquery-migrate.min.js
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responsive-menu.js
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wp-quicklatex-frontend.js
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leadbox-867.js
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wp-embed.min.js
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count.js
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analytics.js
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Deep-Learning-Example-using-DIGITS-3-1024x576.jpg
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digits3-on-ec2.jpg
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virtual-billboard-1024x683.jpg
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imfill.jpg
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opencv-delaunay-vornoi-subdiv-example.jpg
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tools-do-not-a-craftsman-make.jpg
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Facial-Feature-Detection-1024x577.jpg
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can-i-show.js
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count.js
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count-data.js
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all.js
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learnopencv.com accessibility score
Names and labels
These are opportunities to improve the semantics of the controls in your application. This may enhance the experience for users of assistive technology, like a screen reader.
Impact
Issue
Buttons do not have an accessible name
Links do not have a discernible name
Contrast
These are opportunities to improve the legibility of your content.
Impact
Issue
Background and foreground colors do not have a sufficient contrast ratio.
ARIA
These are opportunities to improve the usage of ARIA in your application which may enhance the experience for users of assistive technology, like a screen reader.
Impact
Issue
ARIA IDs are not unique
Navigation
These are opportunities to improve keyboard navigation in your application.
Impact
Issue
Heading elements are not in a sequentially-descending order
learnopencv.com best practices score
Trust and Safety
Impact
Issue
Does not use HTTPS
Ensure CSP is effective against XSS attacks
User Experience
Impact
Issue
Displays images with incorrect aspect ratio
General
Impact
Issue
Detected JavaScript libraries
learnopencv.com SEO score
Content Best Practices
Format your HTML in a way that enables crawlers to better understand your app’s content.
Impact
Issue
Links do not have descriptive text
Crawling and Indexing
To appear in search results, crawlers need access to your app.
Impact
Issue
Links are not crawlable
Mobile Friendly
Make sure your pages are mobile friendly so users don’t have to pinch or zoom in order to read the content pages. [Learn more](https://developers.google.com/search/mobile-sites/).
Impact
Issue
Document uses legible font sizes
Tap targets are not sized appropriately
EN
EN
UTF-8
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Learnopencv.com can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and it matches the claimed language. Our system also found out that Learnopencv.com main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.
learnopencv.com
Open Graph description is not detected on the main page of Learn OpenCV. Lack of Open Graph description can be counter-productive for their social media presence, as such a description allows converting a website homepage (or other pages) into good-looking, rich and well-structured posts, when it is being shared on Facebook and other social media. For example, adding the following code snippet into HTML <head> tag will help to represent this web page correctly in social networks: