• 3 min read
How to Use Computer Vision to Keep Stock of Inventory
Learn how to use computer vision to track inventory in logistics facilities.
• 4 min read
How important is subject similarity for transfer learning?
Using transfer learning to initialize your computer vision model from pre-trained weights rather than starting from scratch (initializing randomly) has been shown to increase performance and decrease training time. It makes sense, by giving your model prior knowledge about basic concepts like lines, curves, textures, and "things" it
• 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
• 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 contact
• 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.
• 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 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
• 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, the co-founder of Google Brain and Coursera and former Chief Scientist at Baidu, spoke at this week's Scale Transform conference on the transition from "big data" to "good data." He relayed several insights learned from his efforts to deploy AI for real-world
• 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 and lightly edited by the Roboflow team. Herberto's Github hosts all of the images used in his project.
Increasing numbers of dangers and accidents for cyclists
Cyclists face dangers like cars on the street, other cyclists, and poorly developed
• 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; 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 lives; from 2018 to 2019, construction injuries
• 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's new partnership with OpenCV, I had the opportunity to be involved with the first round of the 2021 OpenCV AI Competition. If you haven't heard of the competition, it's the world's biggest spatial AI competition, in which over
• 8 min read
Running Tensorflow JS on a 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 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 coverage, and weather. Unfortunately, documentation
• 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:
Stay Connected