Improving Online Imagery with an Image Recognition API


Aug. 29, 2020

Computer vision and artificial intelligence have been used for years in the media and entertainment industries—but thanks to recent advances in deep learning, the potential applications of image recognition are broader than ever before. What’s more, these technological developments coincide with an explosion in the use of images and videos, especially for marketing and advertising purposes. It’s estimated that 1 trillion photos were taken in 2015 alone, and posts with visual content receive 94 percent more visits and engagements than text-only posts.

But with so much visual content and so little time, how can you sift through it all to find the images and videos that are most effective for your needs? In this article, we’ll discuss how you can take advantage of an image recognition API to improve the quality of your visual assets.

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Why use an image recognition API?

An image recognition API (application programming interface) is an automated tool that acts as a “black box” to identify the contents of an image or video (in particular people or objects). Given an image, the API returns its prediction or predictions based on its best guess for what the image contains.

Third-party companies offer image recognition APIs, many of them suited for different industries or use cases. Using an image recognition API helps you automate and outsource the task of recognizing images, so that your employees can focus on your core business functionality instead of trying to reinvent the wheel. As such, image recognition APIs help you cut costs and boost your efficiency and productivity while enjoying access to cutting-edge technology.

How does AI help with image quality control?

Not only can AI identify the contents of an image or video, it can also evaluate those contents based on some quality or criterion.

In the media and entertainment industry, an AI-enabled image recognition API can also perform image quality control, assessing and enhancing low-quality images while removing undesirable ones. For example:

  • Duke University researchers have developed an AI that generates high-quality images from blurry and pixelated originals, with resolutions of up to 64 times the original size.
  • Multiple image recognition APIs have been trained to detect and filter out nudity and explicit content.
  • Facebook and other social media websites use image recognition to detect banned content (such as graphic violence) and flag it for a human to review.
  • “Deepfakes” (fake videos and images that simulate a person’s likeness) can be detected and deleted using deep learning models that look for artifacts and inconsistencies.

How Chooch’s image recognition API works

Chooch has developed a sophisticated, enterprise-grade, all-in-one image recognition API that unites data collection, model development, training, and deployment, making it easier than ever to bring the power of image recognition to your business.

These short AI API videos demonstrates how simple it is to start defining your own image classes (e.g. different brands or logos) within the Chooch AI dashboard. Once you’ve uploaded an image dataset that demonstrates examples of that class, the Chooch AI can immediately apply what it’s learned to start identifying people and objects in previously unseen images as well.

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The benefits of Chooch’s image recognition API

Chooch’s image recognition API has been used by customers in a wide range of fields, from healthcare and manufacturing to retail and workplace safety—but it’s been proven especially valuable for our clients in the media and entertainment fields. Our image recognition API can be used for tasks such as:

  • Image enrichment: Image recognition helps you quickly add metadata to images by identifying the people and/or objects in a photograph. Whether you’re working with new agency photos or online retail listings, image recognition in the cloud helps you save time and enhance the value of your inventory.
  • Image quality control: With sophisticated image recognition APIs, quality control no longer needs to be done manually by human editors poring over each image. The Chooch API can detect image defects and problems such as blurriness, nudity, banned content, deepfakes, and more, and then flag suspicious images for human review.
  • Video annotation and analysis: Image recognition APIs can help you add tags for the people and objects in a video, helping to make your content searchable for easier retrieval and editing.

But there’s no need to take our word for it—why not try our the Chooch image recognition API.

Where can I learn more about how to use the Chooch AI API?

Check out these computer vision API videos to see just how easy it is to get started with our custom image recognition API.

How can I get started?

When you’re finished, request a demo to schedule a chat with our team of visual AI experts or simply open your free account to get a free API API key.