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.
The Roboflow CLI will improve workflows and the ability to use Roboflow when
building computer vision applications.
You can use the new Roboflow CLI to access information about your workspaces
Roboflow Annotate [https://roboflow.com/annotate] now offers automated polygon
labeling for all users. With as few as one click, you can apply a polygon
annotation to objects in your
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.
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.
Learn how to annotate images in CVAT, an open-source, web-based tool for labeling data for object detection, segmentation, classification, and other tasks.
Follow along as I use a playing cards object detection model
[https://universe.roboflow.com/augmented-startups/playing-cards-ow27d] from
Roboflow Universe [https://universe.roboflow.com/] to build a computer-vision
powered Blackjack
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
“You could do what Roboflow does yourself but…why would you?”
-Jack Clark, Co-Founder of Anthropic [https://www.anthropic.com/], former Policy
Directory at OpenAI [https://openai.com/],
It’s
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
[https://github.com/Hberto/
You may have heard about OpenAI's CLIP model [https://openai.com/blog/clip/]. If
you looked it up, you read that CLIP stands for "Contrastive Language-Image
Pre-training.
