• 3 min read
Roboflow Universe: the Computer Vision Community
We’re excited to introduce Roboflow Universe, the new hub for computer vision datasets and pre-trained models.
• 1 min read
Roboflow Changelog: August 2021
Each month we share a recap of our monthly updates and releases in the Roboflow Changelog. The previous Changelog is available here.
In July, the product team's major emphasis was on a new product we'll be releasing at our Launch Party on Wednesday, August 11 -
• 4 min read
Using Computer Vision to Accelerate Microbiology Research and Combat Antibiotic Resistance
Michael Shamash is a Master’s student in the Maurice Lab at Canada's McGill University. Michael used Roboflow to streamline the production of a model and iOS app for use in microbiology.
• 3 min read
Transformers Take Over Object Detection
It seemed just like a matter of time... and now the Transformers neural networks have landed - Microsoft's DyHead achieves state of the art object detection using a Transformer backbone.
• 6 min read
How to Train YOLOX On a Custom Dataset
The YOLO family continues to grow with the next model: YOLOX. In this post, we will walk through how you can train YOLOX to recognize object detection data for your custom use case.
• 1 min read
What is ONNX?
Learn what ONNX is and when it i sused in computer vision.
• 2 min read
Roboflow for Students and Universities
We've seen tremendous interest in Roboflow from the research community. Faculty and students from institutions ranging from California to Malta to Taiwan have been using Roboflow to accelerate their computer vision work.
• 1 min read
What is CUDA?
"ML in a Minute" is our conversational series on answering machine learning questions. Have questions you want answered? Tweet at us.
What is CUDA?
CUDA is NVIDIA's framework for using GPUs – graphical processing units – to do general purpose operations. Oftentimes, these are the same sorts of
• 9 min read
Experimenting with CLIP and VQGAN to Create AI Generated Art
Earlier this year, OpenAI announced a powerful art-creation model called DALL-E. Their model hasn't yet been released but it has captured the imagination of a generation of hackers, artists, and AI-enthusiasts who have been experimenting with using the ideas behind it to replicate the results on their own.
• 2 min read
Announcing On-Prem and Offline Mode for Roboflow Deploy
With Roboflow, you can train a custom computer vision model in one click
[https://docs.roboflow.com/train] and get an infinitely scalable API to receive
predictions [https://docs.roboflow.com/inference/hosted-api] and you can also
deploy [https://roboflow.com/deploy] directly to devices like the NVIDIA Jetson
[https:
• 2 min read
Using Computer Vision to Clean the World's Oceans
Global plastic production has exceeded 500 million tons. Moreover, estimates from the US Environmental Protection Agency indicate that 30 percent of all produced plastic will end up in the oceans.
With this in mind, researchers Gautam Tata, Sarah-Jeanne Royer, Olivier Poirion, and Jay Lowe from CSU Monterey Bay, The Ocean
• 4 min read
5 Reasons to not Fully Outsource Labeling
So you're working on building a machine learning model, and you have hit the realization that you will need to annotate a lot of data to build a performant model. In the machine learning meta today, you will be bombarded with services offering to fully outsource your labeling woes.
• 4 min read
Solving the Out of Scope Problem
When we are teaching a machine learning model to recognize items of interest, we often take a laser focus towards gathering a dataset that is representative of the task we want our algorithm to master.
• 10 min read
How AI Protects My Garden from Rabbits
Rabbits were eating all of my vegetables. I decided to take a stand and implement a computer vision enabled system to automatically spook them away from my garden.
• 3 min read
Announcing Image Classification Support, End to End
We are excited to announce full support for image classification in Roboflow, from image collection and organization, to annotation, to custom training, and deployment.
• 7 min read
How Atos Uses Computer Vision to Monitor Office Occupancy
Building & deploying a privacy-first model to the edge with Roboflow in 60 days
The COVID-19 pandemic changed how and where we work. Fortunately, in some countries, the pandemic appears to be nearing its final act. As companies around the globe make measured decisions regarding returning to the office, keeping
• 6 min read
How Your Favorite Brands Are Using Computer Vision
If you’ve ever tried to explain how computer vision works to your friends, family or colleagues, you probably know that it can be hard to do. This is especially true if you start using the common jargon (e.g. neural networks, hyperparameters, machine learning), as these terms can sometimes
• 1 min read
Roboflow Changelog: July 2021
Welcome to this month's installment of the Roboflow Changelog highlighting all the updates we've pushed in the past month. The update for last month can be found here.
In June we pushed our major revamp of the backend that supports collaboration between team members ("Workspaces&
• 7 min read
How to Train YOLOR on a Custom Dataset
The YOLO family recently got a new champion - YOLOR: You Only Learn One Representation. In this post, we will walk through how you can train YOLOR to recognize object detection data for your custom use case.
• 3 min read
Choosing the Right Problem Statement
Creating a computer vision model, at the outset, seems like a pretty involved task. Even if you’re using an end-to-end solution like Roboflow, the process will always require you to source and aggregate starting data (images), generate versions of each dataset, train different variations of your model and then
• 2 min read
An Introduction to ImageNet
Learn what the ImageNet dataset is, how the dataset is structured, and applications for the dataset.
• 1 min read
Announcing Classification Support for Roboflow Annotate
When it launched in early 2020, Roboflow was primarily a tool for converting
object detection datasets. As the months have gone on we have expanded its
capabilities to include collaboration [https://blog.roboflow.com/teams-for-all/], training
[https://docs.roboflow.com/train], deployment [https://roboflow.com/deploy], and
annotation [https://roboflow.
• 3 min read
What Is the JAX Deep Learning Framework?
You've probably heard of TensorFlow and PyTorch, and maybe you've even heard of MXNet - but there is a new kid on the block of machine learning frameworks - Google's JAX.
• 5 min read
For the People, By the People
Computer vision, on the whole, is an ambitious undertaking.
We are developing technology that can see the world as we see it - to recognize
simple objects like trees and croissants, and more complex occurrences like oil
and methane leaks. Today, models can even read license plates and receipts.
Computer
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