Facebook’s Automatic Alt Text (AAT) system will be able to identify 10 times more concepts than earlier.
Facebook said the AAT now represented multiple technology advances that improve the photo experience
Photo Credit: Facebook
Facebook's Automatic Alt Text (AAT) system can now detect and identify 10 times more objects and concepts than it could when it was first launched, announced the company. Descriptions will also be more detailed, and AAT will be able to identify activities, landmarks, types of animals, and more. Facebook announced improvements to AAT, a system introduced by the company in 2016 that uses object recognition to generate descriptions of photos on Facebook and Instagram for visually impaired individuals.
The improved AAT recognises over 1,200 concepts, Facebook said in a blog post. This is more than 10 times the amount possible in the original version launched in 2016.
Facebook said that AAT will also include information about the positional location and relative size of elements in a picture. For example, instead of saying “May be an image of 5 people,” the AI will be able to specify that there are two people in the centre of the photo and three scattered towards the fringes.
While the new AAT will provide a compact description for all photos by default, users will also have the option of getting detailed descriptions of photos that could be of more interest to them. When they select this option, a panel will be presented that has a more comprehensive description of a photo's contents,
Facebook said that it consulted users who depend on screen readers and found out that they want more information about an image when it is from friends and family, and less information when they are not. The detailed description will also include positional information and a comparison of the relative prominence of objects.
Facebook stated that the updated AAT now represented multiple technology advances that improves the photo experience for users. Further, concepts that it could not reliably identify were omitted to lower the margin of error.
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