Cloudinary Blog

log posts of 'AI' tag
How to Automatically Generate alt Text for Images

Images and videos are critical for ensuring user engagement on the web. For instance, on a retail website, images of a product from different angles or a 360-degree video of the product can lead to higher conversion rates. For a news website, users are more likely to read articles with visual media accompanying the content. It has been reported that posts that include images produce a 650-percent higher user-engagement rate than text-only posts.

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Create Passport Size Photos Automatically

Individuals and organizations constantly face a plethora of passport-related issues, ranging from identity theft to impersonations and other vices. As an individual, you could be denied a job or visa just because of a minor noncompliance with the complex requirements for your passport photo. To avoid falling victim to such situations, you need an elaborate measure that ensures that your passport photo meets those requirements without fail.

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Build a Facial Emotion Recognition Based Video Suggestion App

Developers are always looking for new and creative ways to deliver content that resonates with the way users feel. Often using the latest technical innovations the market has to offer such as Artificial Intelligence (AI) and Machine Learning (ML). What better way to demonstrate innovative uses of these technology in a consumer market than capturing expressions from your users and then serving content based on that expression!

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Cloud-Based Video Content Management Platform for Developers

Videos in web sites and apps are starting to catch up with images in terms of popularity and they are a constantly growing part of the media strategy for most organizations. This means bigger challenges for developers who need to handle these videos in their web sites and mobile apps. Cloudinary's mission is to solve all developer needs around image and video management. In this blog post, we are excited to introduce Cloudinary's complete cloud-based video management solution for developers.

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Analyze and auto tag images with Amazon Rekognition

Knowledge is power. And if you allow your users to upload images, you also probably want to better understand what their images contain. Whether a photo is of a building, people, animals, celebrities, or a product, image processing and analysis can assist in further comprehension. The benefits of this knowledge can go beyond "merely" categorizing your content and making your image library searchable: drawing insights from user generated content can be very useful! What better way to learn more about your users than to analyze the images they upload and find out what they care about and then have the ability to display relevant content to them according to their interests or even match them with other users that share similar interests.

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Automatically moderate your user uploaded images

Allowing your users to upload their own images to your website can increase user engagement, retention and monetization. However, allowing your users to upload any image they want to, may lead to some of your users uploading inappropriate images to your application. These images may offend other users or even cause your site to violate standards or regulations.

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High Quality Style Transfer Using Deep Learning Techniques

If you are anything like me, one of the things you love about this digital era is that you can be artistic and creative, even if your drawing skills never made it much past stick figures. The average smartphone can take photographs of astonishing quality. And all sorts of special effects, filters, and overlays enable users to convert their favorite photos into unique expressions of themselves.

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