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All CollectionsWhat's New?April 2020
New Image Analysis Models on TRAC
New Image Analysis Models on TRAC

WHAT'S NEW - APRIL 2020

Linda Maruta avatar
Written by Linda Maruta
Updated over a week ago

Every day, tens of millions of pictures are being shared on social media. In your searches, you are likely pulling in thousands, if not millions of images. So the challenge becomes how to quickly and accurately analyze these large sets of images.

We pioneered the concept of vertical image analysis back in 2018, with the idea that you could go beyond generic image analysis and identify and categorize visual content by a specific industry or subject matter. Pulsar users love it, with close to 20 million images analysed every month!

So today we are introducing four new image analysis models: Instagram Popular Shots, Food Beauty, Make-up Looks and Interior Styles. These new models will not only allow you to sort through your images and identify the main concepts, but will also help you unpack the various layers of meaning images acquire in the context of social media conversations.

So what can you expect from these new models? 

With this model you can detect and classify typical social media shots in your dataset. The model returns the following tags: fitness, food, from where I stand, interior design, makeup shot, manicure shot, mirror selfie, party, pet shot, selfie, sky shot, workplace shot.

Using Instagram Popular Shots can help you get an overview of your audience’s main behaviors during specific moments. If you were running a campaign for a festival, or a sports event, what are the popular shots that people tend to take when they are in that particular moment? By spotting, for instance, a high percentage of selfies in a certain dataset you might use that insight to craft a campaign strategy, or a brief centred around that behavior.  

Food Beauty

With this model you can group food images by how staged or appealing the food looks. Unlike the current Food model, which returns a list of food items identified in a picture, this is a binary model, which returns a tag telling you whether the food layout is appealing, or not.

How can you use this model? Eating, for so many people, is an experience best captured visually. And if you're a brand manager for a food company, you can use this model to understand the brand perception around your products. It's not just the ingredients or recipe that matters, the appearance of the food is in itself a form of art, and people are more likely to share pictures of their food if it is “beautiful” to look at. Access to this user generated content can provide you with valuable insights around your food products or campaign hashtags, for example whether or not it’s associated with highly curated or simpler, more “natural” food shots. 

Make-up Looks

With this model, you can recognize different makeup styles in your dataset. The model returns the following tags: bold, bold eye, bold lashes, bold lip, bridal, cat eye, festival, glamour, glitter, luminous, matte, red lip, shimmer, smoky, subtle.

An art director at a cosmetics company may use this model to quickly understand the trends, styles, and vibe of a given community, and see what is trending within it, creating a data-driven moodboard based on large collections of authentic images.

Interior Styles

This model recognizes interior decor styles of the pictures in your dataset. It returns the following tags: bohemian, classic, coastal, contemporary, eclectic, farmhouse, glam, global, mid-century modern, minimalist, modern, preppy, rustic, scandinavian, southwestern, traditional. 

This model might be used by a furniture company to recognize popular decor in a given audience or around a trending hashtag. The brand can discover how to display its furniture in a showroom in a way that is going to resonate with its target audience. This model is also useful to spot emerging trends in interior design, and uncovering unexpected elements and accents for creative inspiration. 

How do I access the new models?

The models are available at Search setup, in the Visual section as shown below. You’ll need to ensure that you have Image Analysis enabled in your Pulsar Account, so if you don’t, now’s the time to reach out to your Account Manager! 

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