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…

🎉🍾 AI Assistants are live on LabelFlow to label images faster thanks to AI and build larger datasets! For now we have connected 2 public models from @huggingface, DETR COCO and VIT ImageNet for detection and classification tasks. 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

Top 10 most promising agricultural projects leveraging AI. Discover the tech that change this capital space! labelflow.ai/posts/top-10-mo…

In this 6th episode of AI Stories, Alexis Janson, Product Manager for Agriculture and Forestry at Alteia talks about how it is possible to reach a more sustainable agriculture using AI combined with drone pictures. labelflow.ai/posts/ai-storie… @Alteia_AI @DelairTech

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

"Detect malignant lung modules 18 months quicker than the regular process." On top of AI Stories Episode 5 last week on faster breast cancer detection we wanted to explore deeper, the most promising healthcare applications powered by AI 🏥 labelflow.ai/posts/top-10-mo…

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

Diagnosing Breast Cancer in 35 min instead of Days. New AI Stories by LabelFlow episode is live! 🩺 labelflow.ai/posts/ai-storie…

And the first dashboard in the Open page labelflow.ai/open

Kickstarting our #OpenStartup dynamic at LabelFlow! We are now sharing our indicators publicly 🪟. That's just the beginning of this project. labelflow.ai/posts/labelflow…

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

👋 On March 3rd at 4pm CET, our team will hold a 30min webinar to introduce you the best practices to label large image sets, you can register here ⤵️ That's also a good opportunity to exchange with us on what matters to you product-wise app.livestorm.co/labelflow/h…

LabelFlow is not the only tool outside for image labeling to build datasets. Our main focus and strength for now is all about openness and user experience. Discover 15 other tools in the space! labelflow.ai/posts/15-best-i… #datasets #machinelearning #datacentricai

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!

As a young project, publicly launched in September 2021 with a community version and hundreds of datasets built on the platform since then, it means a lot to our team and we are very thankful for this trust! Stay tuned we will tell you more on this collaboration soon!