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 now supports semantic segmentation projects end-to-end allowing you to use Roboflow Annotate to label data, Roboflow Train to build models, and Roboflow Deploy for inference.
This release, alongside support
Since its launch in August 2021, Roboflow Universe has become the largest
collection of open source datasets and pre-trained computer vision models
[https://blog.roboflow.com/computer-vision-datasets-and-apis/]. Our goal is
When building a computer vision application from scratch, two of the most time
consuming parts of the process are finding data to train the model and quickly
testing the performance
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
Roboflow has extensive deployment options [https://roboflow.com/deploy] for
getting your model into production. But, sometimes, you just want to get
something simple running on your development machine.
If
Roboflow Annotate has been used to manage and label 90,000 datasets containing 66 million images and starting today you can now use text based search queries to better understand
💡Roboflow Inference, which you can use to deploy models to a Raspberry Pi, is now available as an open source project.
We recommend following the Roboflow Inference documentation to set
Answering the question "how do I deploy a computer vision model?" can be
difficult. There are so many options. Which one should you choose? How do you
deploy
Polygons have traditionally been used for training image segmentation models, but they can also improve the training of object detection models. Object detection models are typically much faster and more widely supported, so they're still the best choice for solving many problems.
Roboflow Annotate [https://docs.roboflow.com/annotate] has been used to label
over 66 million images and as teams collaborate to manage large datasets
[https://blog.roboflow.com/annotation-workflow/], it’
Constrained bandwith? Left without the option to extend production data beyond your local network or corporate firewall? In need of real-time inference speeds on the edge? The Roboflow Mobile iOS SDK is a great option if you are developing an iOS application.
90,000 Datasets and 7,000 Pre-trained Models Available
Roboflow Universe [https://universe.roboflow.com/] launched in August 2021 with
50 open source datasets and opened our computer vision infrastructure
Roboflow Annotate [https://roboflow.com/annotate] has been used to label over 66
million images and teams have been able to label more images with our recent
release of collaborative
Microsoft Azure customers worldwide can now gain access to Roboflow to take
advantage of the end-to-end computer vision platform to give their software the
sense of sight.
We’re pleased
What Is Instance Segmentation?
Instance segmentation
[https://blog.roboflow.com/instance-segmentation-roboflow/], also known as image
segmentation, is the computer vision task of recognizing objects in images along
with their associated
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.
We are excited to release support for instance segmentation projects on Roboflow. Instance segmentation allows your computer vision model to know the specific outline of an object in an image, unlocking new use cases for Roboflow in your application.
Spring is finally here and there is computer vision in the air! Each month, we
share a recap of product and company updates; if you missed last month's
