Image recognition on platforms like Facebook used to be a thing of the future – reserved for theoretics in action movies and conversations about technology to come. Now, it has started to manifest itself in our daily lives – from improving automation processes to (most importantly for us at Flick) the way that social media platforms operate. What’s more, is that the market for computer-based vision is projected to reach a value of $17.4 billion by 2023. Cool, right? But why should you care?
Because, if you understand how it works – you can use it to your advantage – like say, growing your Instagram account. What we’re going to touch on in this article is how Instagram uses image recognition to reward you when you use the right hashtags that fit a specific niche. Let’s get into the nitty-gritty.
Image recognition has established itself as a key requirement for tech firms, including your old favorites Facebook (who, as we know, own Instagram). This is a big thing for businesses like this, because it makes automation a whole lot easier, and allows platform processes to be more efficient – and efficiency is key. But, consistently improving the computer visioning software they already use takes a lot of training, as systems need to be able to recognize and classify images at scale – think billions.
Current models are pretty labor-intensive – everything is manually labeled by human annotators in order to improve machine learning. Whilst this is accurate and works well, the process is starting to reach its capacity because of the sheer amount that needs to be processed.