If you need help with content moderation and you are not sure how an image classification API can assist you, take a look at this article and find out how to improve your social media and webpage.
When several major brands discovered their advertising content had been placed next to videos about terrorism on a major video sharing platform in 2017, they were outraged. They quickly removed their advertisements, but were understandably concerned about the long-term effects this error would have on their company’s image.
Obviously, brands want to avoid poor ad placement—both then and now. However, with the explosion of online communication via videos, blog posts, social media, and other means, preventing crises like the one described above is more difficult than one might think.
To address this issue, many platforms turned to human content moderators. Not only was it impossible for humans to manually sift through and vet each piece of content—there are approximately 500 million tweets sent on Twitter alone each day—many moderators found that the content they had to examine was negatively affecting their mental health.
Fortunately, recent significant advances in Artificial Intelligence, Machine Learning, and Deep Learning have made significantly more accurate, automated Content Moderation a reality.
What Exactly Is Content Moderation?
AI models are used by Content Moderation APIs to detect sensitive content in text bodies, including those shared via online platforms or social media. On top of transcription data from audio or video streams, some of the best Speech-to-Text APIs provide Content Moderation. This broadens the scope of Content Moderation to include video platforms such as YouTube, podcast platforms such as Spotify, and others.
Content Moderation APIs typically detect sensitive content such as drugs, alcohol, violence, sensitive social issues, hate speech, and more.
Which Is The Best API For This?
After reviewing the extensive list of image classifier APIs, we are aware that there are numerous options available. Because of this, we recommend you access Clapicks.
The Clapicks API was created by Zyla Labs, a company that uses a powerful machine learning strategy to identify a variety of items in a photo. Clapicks is an excellent option for anyone who requires photo product organization.
When a photo URL is provided, Clapicks will provide a comprehensive list of every category in which the image is classified. When the image’s confidence score, which ranges from 0 to 1, is close to 1, object recognition performance improves. This API’s label function allows you to name-identify specific objects in images.
The Clapicks API is straightforward. Simply perform the following steps:
-To get started, create a Clapicks account. Following that, you’ll be given an API key, which you must enter each time you use the API.
-Before making any API calls, you must first validate your API key. This method is simple and quick. You can quickly validate your API key by submitting your bearer token in the authorization header.
-After completing the preceding steps, enter the URL of the image you want to categorize.
-Call the API last, and then wait for it to return the results.