• 5 min read
Precision and Recall in Machine Learning
Learn what precision and recall are and why they are important in computer vision.
• 1 min read
Testing A Computer Vision Model In 10 Seconds Or Less
Learn how to test your computer vision model with Roboflow.
• 5 min read
How To Avoid Bias In Computer Vision Models
There are two different ways to think about algorithmic bias, and they are
complementary to one another. The first being the social and ethical side, and
second being the more technical side, how we detect it, and mitigate it.
Today we’re going to dive into the technical side of
• 6 min read
Identifying Chocolates With Computer Vision
Learn how to identify chocoaltes using computer vision technology.
• 7 min read
How to Train Computer Vision Models on Aerial Imagery
Aerial imagery are images taken from aircrafts like drones, planes, and
helicopters. With these images we can train a model to detect objects like
fires, buildings, solar panels, rooftops, maritime search and rescue, and more.
A good use case example is when maritime search and rescue (SAR) teams search
for
• 1 min read
Roboflow Changelog: January 2022
It might be cold outside, but Roboflow is bringing the heat to kick off 2022! Each month, we share a recap of product and company updates. If you missed last month's edition of the Roboflow Changelog, you can find it here.
Roboflow Organize
* Major update to the Annotations
• 3 min read
Launch: Collaborative Annotations
Roboflow Annotate [https://roboflow.com/annotate] has become an essential tool
used by tens of thousands of developers to label images of everything from
planes [https://universe.roboflow.com/skybot-cam/overhead-plane-detector] to
petri dishes [https://universe.roboflow.com/michael-shamash-f942a/onepetri].
Since its launch just over a year ago [https://blog.
• 2 min read
Introducing the Roboflow Universe Dataset Research Internship
We are seeking an intern who would be interested in first-authoring the paper that introduces the Roboflow Universe Datasets.
• 1 min read
Roboflow Changelog: December 2021
Even though the year was coming to a close and holidays gave us the chance to spend time with family and friends, we kept our focus right up to the end in order to make Roboflow even better. Each month, we share a recap of product and company updates to
• 5 min read
SageMaker Studio Lab vs Google Colab
Recently, AWS released SageMaker Studio Lab, its competitor service to Google Colab. I dove into comparing Google Colab to Studio Lab and here is what I found.
• 1 min read
Introducing the Roboflow Inference Widget
Now, you can easily test any model that has been trained with Roboflow Train by dragging an image file onto your dataset version page.
• 5 min read
Florence: A New Foundation for Computer Vision
Microsoft Research recently released the foundational Florence model, setting the state of the art across a wide array of computer vision tasks.
• 7 min read
Remote, Not Distant
As Roboflow has grown, we have put a great deal of effort into creating an
unparalleled remote-first workplace. To achieve our goal of empowering every
developer to use computer vision, we need to assemble a world class team and put
them in an environment where they can thrive.
We'
• 7 min read
Who cares about Nemo, let's find some Sexy Shrimp!
Creating a computer vision model with Roboflow to detect sexy shrimp.
• 4 min read
Using Computer Vision to Play Dreidel
As a brand new employee at Roboflow, I was asked to do a computer vision project. So I thought, why not combine a holiday I love so much, Chanukah, with something brand new in my life, Roboflow.
• 1 min read
Roboflow Changelog: November 2021
It's been a whirlwind of a month at Roboflow with lots of changes, updates, and expansion going on behind the scenes. Each month, we share a recap of product and company updates. If you missed last month's edition of the Roboflow Changelog, you can find it
• 4 min read
ReefOS: Supercharging Coral Reef Restoration with AI
Corals lay the foundation for reefs that are home to nearly 25% of all marine
life, but today they are vanishing at an alarming speed. Reefs around the world
are degrading and without a concerted intervention, the Earth’s coral reefs as
we know them could disappear before the next
• 4 min read
What is YOLOS? What's New in the Model?
YOLOS - You Only Look At One Sequence is the newest, and potentially most impactful, iteration on the YOLO family of object detection models.
• 4 min read
The Future of Football: AI-Assisted Coaches
Scott Bronkema is a former college football player turned software developer. As
Scott started tinkering with computer vision, he discovered he can build every
football coach's dream application: the automated playbook.
Bronkema's product automatically identifies offensive and defensive player
positions and formations and then tracks players&
• 6 min read
Let's Talk About Company Culture
Company culture is a feeling in the air, the social norms of a group, the
manifestation of collective goals and beliefs, and the one intangible thing that
can make or break a growth stage company. For some, culture becomes a priority
too late in the business. It starts to become
• 3 min read
YOLOv5 v6.0 is here - new Nano model at 1666 FPS
With the v6.0 release, YOLOv5 further solidifies its position as the leading object detection model and repository.
• 1 min read
New Feature: Isolate Objects
You can now export the bounding boxes from your object detection dataset as
cropped images usable with classification models. This update will enable easily
prototyping two-pass models for use-cases like OCR and object tracking
[https://blog.roboflow.com/zero-shot-object-tracking/].
Isolate Objects is now available as a preprocessing step.To try
• 7 min read
Engineer's Guide to Figma
Your designer sent over a url that begins with figma.com and asks you to take a look at their latest work. What is Figma, you wonder as you click through a series of screens, and how can I learn more about it? Wonder no more — you’ve come to
• 2 min read
How to Safely Install OpenCV on the Mac M1
Installing OpenCV on the M1 safely is difficult because the M1 operates on an arm64 architecture and most of your python libraries are compiled for amd64. Open this guide to avoid your otherwise inevitable demise.
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