Team Roboflow decided to end 2022 strong and kick off 2023 with a bang by shipping 12 new features in 12 days. Updates were made to model-assisted labeling, model training, annotation tools, the REST API, Python SDK, and more.
As Ph.D. students in the Active Robotics Sensing Lab (ARoS) at NC State under the supervision of Dr. Edgar Lobaton, we developed in conjunction with The Engineering Place at NC State a set of activities to walk high school students through the entire computer vision pipeline.
YOLOv5 [https://blog.roboflow.com/yolov5-improvements-and-evaluation/] is one of
the most popular object detection networks in the world, and now object
detection isn't the only trick up its sleeve!
NVIDIA's TAO Toolkit provides a framework for fine-tuning popular computer vision models using your own data. In this tutorial, we'll be demonstrating how to use Roboflow to curate a high-quality computer vision dataset to use with NVIDIA's TAO Toolkit.
Regardless of whether your project is a new product line, a new industrial production system, a research project, or a personal one to help you learn what computer vision is all about, you'll want to add "pip install roboflow" to your code - and here's why.
Follow along as I use a playing cards object detection model
Roboflow Universe [https://universe.roboflow.com/] to build a computer-vision
Creating a computer vision model, at the outset, seems like a pretty involved
task. Even if you’re using an end-to-end solution
[https://blog.roboflow.com/what-does-end-to-end-really-mean/] like Roboflow, the
Developing, deploying and optimizing computer vision models used to be a
cumbersome, painful process. With Roboflow, we sought to democratize this
technology, which (first and foremost) meant knocking down the
This is a guest post authored by Herberto Warner
[https://www.linkedin.com/in/h-werner-252876209/] and lightly edited by the
Roboflow team. Herberto's Github
Computer vision technology continues to expand its use cases in healthcare and medicine. In this post, we will touch on some exciting example use cases for vision in healthcare and medicine and provide some resources on getting started applying vision to these problems.