INSUBCONTINENT EXCLUSIVE:
vision to understand and list the most important aspects of the products in any photo.Now, you may think this already exists
shopping online, and I searched for v-neck crop shirt, and only like two things came up
images, from identifying dog breeds to recognizing facial expressions
When it comes to fashion and other relatively complex products, they do the same sort of thing: Look at the image and generate a list of
features with corresponding confidence levels.So for a given image, it would produce a sort of tag list, like this:As you can imagine,
But it also leaves a lot to be desired
If you asked the system what color the shirt is, it would be stumped unless you manually sorted through the list and said, these two things
have thousands of products, each with a dozen pictures, and new ones coming in weekly
Do you want to be the intern assigned to copying and pasting tags into sorted fields? No, and neither does anyone else
actually looked at the sleeves of the garment and determined that they are long.The system was trained on a growing library of around 11
far from an insurmountable one
the same algorithms could find the defining characteristics of cars, beauty products and so on
Our first customer was actually a pricing optimization company, another was a digital marketing company
The more you know about the product, the more data you have to correlate with consumer behaviors, trends and such
Knowing summer dresses are coming back, but knowing blue and green floral designs with 3/4 sleeves are coming back is better.Glisten
co-founders Sarah Wooders (left) and Alice DengCompetition is mainly internal tagging teams (the manual review we established none of us
to individual outreach to people they thought would find it useful
It has also been updated to better reflect that the system is applicable to products beyond fashion.)
