• 4 min read
How to Use Your Webcam with Roboflow Models
Learn how to use your webcam with Roboflow computer vision models.
• 6 min read
Zero-Shot Content Moderation with OpenAI's New CLIP Model
Learn how to use the CLIP zero-shot model to moderate visual content.
• 3 min read
Andrew Ng: "Deploying to production means you're halfway there."
Andrew Ng [https://twitter.com/andrewyng], the co-founder of Google Brain
[https://research.google/teams/brain/] and Coursera [https://www.coursera.org/]
and former Chief Scientist at Baidu [http://research.baidu.com/], spoke at this
week's Scale Transform conference [https://scale.com/events/transform] on the
transition from
• 1 min read
Webinar: How to Build a Detectron2 Model with Roboflow and Paperspace Gradient
Missed the event or looking for the recording? Check out the Roboflow + Paperspace Detectron2 webinar recording here and notebook here!
Tomorrow, Roboflow and Paperspace are co-hosting a webinar teaching you how to build a Detectron2 model with our tools. Roboflow gives you "everything you need to start building computer
• 2 min read
Video Inference with Roboflow
One common question we get is "Can I use my Roboflow model on a video?" The
answer is yes! Videos are really just a sequence of images, so your model can
give predictions just like it does on images.
The process is simple: 1) split your video into
• 3 min read
Danger Monitoring for Cyclists using Raspberry Pi and Object Detection
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/dangerMonitoringAIObjectDetect] hosts all of the
images used in his project.
--------------------------------------------------------------------------------
Increasing numbers of dangers and accidents for cyclists
Cyclists
• 4 min read
What is Embedded Machine Learning?
Machine learning – the software discipline of mapping inputs to outputs without
explicitly programmed relationships – requires substantial computational
resources. Traditionally, this limits where machine learning models can run to
very powerful supercomputers. But this is changing.
Computation is required at two core moments in the machine learning development
lifecycle: model training
• 4 min read
Using Computer Vision to Detect Personal Protective Equipment
This is a guest post by data scientist Jaco Lau
[https://www.linkedin.com/in/jaco-lau-499ab767/]; this has been lightly edited
by the Roboflow team.
--------------------------------------------------------------------------------
Having worked in construction, I constantly found myself reminding
subcontractors to wear the proper Personal Protective Equipment (PPE). Wearing
the proper PPE can save
• 8 min read
How We Built Paint.wtf, an AI Game with 150,000+ Submissions that Judges Your Art
Paint.wtf is an online game that uses AI to score user-submitted digital drawings to zany prompts like, "Draw a giraffe in the arctic" or "Draw a bumblebee loves capitalism." It's Cards Against Humanity meets Microsoft Paint.
Paint.wtf became an internet sensation. In
• 2 min read
Introducing Roboflow Support for NVIDIA Jetson
💡Roboflow Inference, which you can use to deploy computer vision models to a Jetson (among many other devices), is now available as an open source project.
See the Quickstart to get started.
Deploy Models to NVIDIA Embedded Devices
Deploying models to the edge offers unique benefits: inference speeds can be
• 3 min read
3 Things You Should Know From This Year's 2021 Startup Summit
Last week, I attended the 2021 Startup Summit from my home office in Des Moines, Iowa.
Perhaps one of the few good things to come out of this pandemic are virtual conferences, which have significantly increased the accessibility of thought leadership in our respective industries. Read about some of the
• 1 min read
Roboflow Changelog: March 2021
The monthly changelog showcases improvements in Roboflow over the past month. You can find the previous changelog here.
In February, we had a major focus on reinforcing our foundation; after several months of rapid feature expansion we spent a considerable amount of time fixing bugs, improving infrastructure, and preparing for
• 3 min read
5 Emerging Trends in Computer Vision Applications from OpenCV's AI Competition
As part of Roboflow [https://roboflow.com/]'s new partnership with OpenCV
[https://blog.roboflow.com/roboflow-opencv-partnership/], I had the opportunity to be
involved with the first round of the 2021 OpenCV AI Competition
[https://opencv.org/opencv-ai-competition-2021/]. If you haven't heard of the
competition, it'
• 8 min read
Running Tensorflow JS on an NVIDIA Jetson
The NVIDIA Jetson line is a series of AI-capable low-power computers. They range from the $59 Jetson Nano (2GB) to the $899 Jetson AGX Xavier and are a popular choice for powering machine learning projects on the edge.
Tensorflow.js is a library for deploying machine learning in JavaScript; it
• 9 min read
How to Use Roboflow and Streamlit to Visualize Object Detection Output
Building an app for blood cell count detection.
The app in action.Most technology is designed to make your life, or your work,
easier. If your work involves building computer vision into your applications,
using the Roboflow [https://roboflow.com/] platform gives you everything you
need.
Streamlit [https://www.streamlit.
• 4 min read
How to Use Google Earth Engine and Python API to Export Images to Roboflow
This is a guest post written by Ethan Arsht and Raluca Cîrju.
--------------------------------------------------------------------------------
Google Earth Engine [https://earthengine.google.com/] is a powerful tool for
analyzing and acquiring geographic data. Machine learning experts use Google
Earth Engine to identify physical attributes and analyze patterns, in areas
including forestry, farmland, ice
• 3 min read
Introducing Upload Batches, the Unannotated Queue, and Mark as Null
This week we updated the workflow for uploading and annotating images to
streamline the process, help you keep track of your progress, and make it easier
to divide work amongst your team.
If you've worked on an ongoing computer vision project with iterative
improvement via active learning [https:
• 3 min read
Using Computer Vision to Improve Disability Access in Music Education
This is a guest post by Mehek Gosalia, a high school student from Sammamish, Washington. She plans to study computer science.
Over the past 4 years, I've worked to develop a disability-accessible rhythm education tool called the Mehek Box. It started as a physical tool, a box representing
• 4 min read
Liquid Neural Networks in Computer Vision
Excitement is building in the artificial intelligence community around MIT's recent release of liquid neural networks. The breakthroughs that Hasani and team have made are incredible. In this post, we will discuss the new liquid neural networks and what they might mean for the vision field.
• 4 min read
Using Computer Vision to Help Win $1 Million in Mountain Dew's Big Game Contest
Last night during Super Bowl LV, Mountain Dew ran an ad featuring John Cena
riding through a Mountain Dew-themed amusement park. Bottles are scattered all
over the scene: neon signs on buildings, in fun house mirrors, and flying out of
the car trunk.
At the end of the ad, John
• 7 min read
How to Train and Deploy a License Plate Detector to the Luxonis OAK
In this post, we will leverage Roboflow and the Luxonis OAK to train and deploy a custom license plate model to your OAK device.
• 4 min read
Using Computer Vision to Make Card Grading Faster and Cheaper
This blog post is a guest post by James Nitsch, a mobile developer (Android)
with WillowTree Apps living in Charlottesville, VA. He's passionate about
do-it-yourself hardware projects, 3D printing, and machine learning & computer
vision. He's happily employed but always loves collaborating and tackling
innovative or
• 2 min read
Roboflow Changelog: February 2021
Welcome to our monthly roundup post of new features and enhancements. You can find the previous changelog here.
The biggest new features released this month were transfer learning and Label Assist.
Roboflow Organize
* Announced teams for all (now teams of up to 3 people can collaborate on the Starter Plan
• 3 min read
Using Computer Vision to Win at Duck Hunt
Can we use object detection to automate identifying moving objects on a screen? Abhinav Mandava leverages Roboflow to create an aimbot (which automates aiming and firing for the player) for Duck Hunt.
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