Labelling images by hand is painstaking work. Someone sits for hours drawing outlines around cells, products or hard hats, one after another. It's careful, important work, and it's exhausting. SymNexusVision helps lighten that load considerably.
Here's the idea. Your team labels a modest set of images the usual way. SymNexusVision learns from those examples and then drafts labels for the next batch: outlines, boxes and object names, all ready for review. Your people move from drawing everything to simply checking and correcting.
Checking is much faster than drawing, and far less tiring. A reviewer can accept a good outline in a second, nudge a slightly wrong one, and add anything that was missed. The drafts get better with every batch you correct. Before long, most drafts need little more than a quick approval.
SymNexusVision also helps you decide what to label next. It looks through your unlabelled images and points out the ones it is least sure about. Labelling those first teaches it the most, so your effort goes where it matters. You reach good quality with far fewer labelled images than you'd otherwise need.
It fits into the tools you already use. Drafts can be exported in the standard formats that popular labelling tools import, and outlines can even be opened in microscopy software like ImageJ and Fiji. Your team doesn't need to learn a new program to benefit. The drafts simply appear where they already work.
It handles all sorts of images: photographs, camera frames, scans and microscopy, including high-bit-depth scientific TIFFs. Whether you're counting cells, cataloguing products or documenting a building site, the process is the same. Your team labels a few, reviews the drafts and repeats.
We measure quality honestly as you go. SymNexusVision reports how closely its drafts match the labels your team corrected, so you can see it improving batch by batch. You'll know when it's reliable enough to trust more of its work.
Your experts always have the final word, and that's as it should be. The drafts are suggestions; people decide what's correct. For research and regulated work, a clear record of who approved which label is easy to keep. Quality and accountability go hand in hand.
That frees your team's time for other work. Scientists can spend more time on experiments than on outlining. Operations teams can label new product lines in days rather than weeks. Projects that seemed too labour-intensive suddenly become possible.
This very approach grew out of real microscopy work, outlining tiny organisms in lab images for research. It's been shaped by the practical frustrations of people who label for a living. We built it to make their work easier, and it can do the same for your team.
Please visit the platform page to see outlines and labels drawn onto an image. Picture those outlines appearing as drafts in your own labelling tool. When you're ready, we'll try it on a set of your own images. I'd be delighted to help.
