AI Assistant in action in 25 seconds, applied to street scenes pre-labeling. Last week we have released our new feature, AI Assistants, in LabelFlow platform, discover more here labelflow.ai/posts/feature-r…

🎥 Yesterday we released a brand new feature at LabelFlow: AI Assistants to label images faster and build larger datasets. In this short video we put it in motion! Discover more in this post and try it now ;) labelflow.ai/posts/feature-r…

And it is all about labeling faster and bringing your datasets at scale!

⏰ Feature of the week #4: Bulk and multiple delete for image gallery. It is simple and powerful but it was missing on LabelFlow, give it a try on labelflow.ai #datalabeling #machinelearning #ui

Today, we have reached our February performance in terms of product use 2 weeks in advance! Behind figures, there is some impact and real problems being solved here, thank you to our users for that 🤩! 2 weeks ago we have made our KPIs public labelflow.ai/open

Good news! LabelFlow now manages large import of classes to facilitate important labeling projects! Actually attributes can also be managed thanks to "/" in the class name ;) Discover more here labelflow.ai/website #labeling #datasets #datacentricai #machinelearning

We have launched our open initiative last week. Here are some usage metrics for January and February! More details here ➡️ labelflow.ai/open

🎉 We had YOLO and COCO export formats, it is now possible to export datasets in CSV in LabelFLow! labelflow.ai/website

No bees, no plant reproduction! 🐝 Computer vision can help track and count different bee species. Here is a glimpse on how we can build a qualified dataset using a few images from Google and LabelFlow Auto Polygon feature. You can give a try here labelflow.ai/

We have decided to go one step further towards transparency. Next week we will tell you more about our #OpenStartUp approach at LabelFlow. For now, here are a couple of metrics 1 month right after the launch of LabelFlow collaborative version on January 11th!