Roboflow

Build a computer vision model to identify and label objects in just seconds -- with the new Box Prompting tool added to Roboflow. Check out a few examples here: https://lnkd.in/gTK2NeSh

Let’s celebrate the winner of AI Breakthrough of the Year – Roboflow! 💥 At the forefront of the open-source AI movement, Roboflow is pushing the boundaries of AI to new heights. Congratulations to all the standout finalists in the category: Provoke Solutions UnityPoint Health Upvote Wells Enterprises Thank you to Lean TECHniques for supporting this award and driving digital innovation through AI. #2024PrometheusAwards #UniteIowaTech

Finally have all of the imagery (15,000) from my masterclass uploaded to Roboflow. Zero-shot is ok, but 20-25% confidence isn't good when you're dealing with 10,000+ images and just isn't very good for aerial nadir imagery. Even 85% confidence can mean days of manual annotation. It can get you started but still requires a lot of work. In my class I'll show how to train a custom model to ID and segment (mask) trees, bushes, houses, cars and people. I'll be working with the team at Roboflow to show best practices for fast manual annotation and training of real-world data. A big shout out to Roboflow who are sponsoring my class by providing a workspace and compute so this data can be shared with everyone.

AI at Meta 🤝 Roboflow: Open source computer vision New post on the Meta AI blog: how Segment Anything has saved over 74 𝐲𝐞𝐚𝐫𝐬 (and counting) for hundreds of thousands of users curating computer vision datasets on Roboflow. Amazingly, even this under estimates SAM's measured impact by an order of magnitude, i.e. all our open source work can be self hosted: using SAM in Workflows for chaining together models in inference, running SAM on edge devices, and with autodistill for local distillation. Link in comments ↓ #opensource #computervision #segmentanything #AI

Dirty-dishinator? Roboflow made it super easy to build

Learn how to use your NVIDIA GPU in Docker containers 🚀 Maximize machine learning inference performance and cost efficiency by running GPU-aware Docker containers. Get started with our blog: https://lnkd.in/edcTGVf4 #Docker #GPU #Nvidia #PerformanceOptimization #CostSavings #DataScience #DeepLearning