Latest Posts

11 Apr 2021 • 3 min read

Our Favorite Computer Vision Courses

A question we frequently receive at Roboflow is, "What is the best class for learning computer vision?" Like most questions, the answer does depend on your background and what you're aiming to learn. Below, we've compiled a few of our favorite courses for learning

6 Apr 2021 • 2 min read

Using Computer Vision to Extract Document Structure

This is a guest post written by Frederik Brammer, a student in Germany. -------------------------------------------------------------------------------- Due to the Coronavirus pandemic, working from home has become more important than ever. Because of homeschooling, school servers have crashed due to the enormous amount of traffic – in some cases, multiple days go by without

4 Apr 2021 • 6 min read

How to Use Roboflow with IBM Visual Recognition (IBM Watson vs Roboflow)

IBM recently announced they are shutting down IBM Visual Inspection, their product for creating custom computer vision models for classification and object detection. No new instances can be created and all current instances will be fully shutdown in December 2021. This has left many looking for IBM Visual Inspection alternatives.

2 Apr 2021 • 3 min read

Top 5 Ways Manufacturers Are Already Using Computer Vision

Computer vision has become essential to building strong and stable manufacturing processes for operations of all sizes, and manufacturers across every industry are using the technology to boost the productivity and quality of their production lines. What was once reserved for only the largest manufacturers to invest time and money

1 Apr 2021 • 1 min read

Roboflow Changelog: April 2021

Each month we bring you the high level bullet-points of improvements and additions to Roboflow. If you missed it, last month's changelog is here. In March we were focused on expanding Roboflow's inference capabilities with the release of on-device NVIDIA Jetson support, our open source video

30 Mar 2021 • 4 min read

How to Use Your Webcam with Roboflow Models

Learn how to use your webcam with Roboflow computer vision models.

28 Mar 2021 • 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.

27 Mar 2021 • 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

24 Mar 2021 • 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

22 Mar 2021 • 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

21 Mar 2021 • 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

20 Mar 2021 • 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

15 Mar 2021 • 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

14 Mar 2021 • 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

11 Mar 2021 • 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

8 Mar 2021 • 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

5 Mar 2021 • 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

1 Mar 2021 • 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'

1 Mar 2021 • 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

23 Feb 2021 • 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.

22 Feb 2021 • 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

20 Feb 2021 • 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:

15 Feb 2021 • 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

12 Feb 2021 • 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.