Written by

Brad Dwyer

Brad Dwyer

Founder of Roboflow, writing the boilerplate computer vision code so you don't have to. Email is brad at roboflow.ai; feel free to reach out.

No-Code Computer Vision with Apple's CreateML

At their Worldwide Developer's Conference in 2019, Apple added object detection support to CreateML, their no-code machine learning app. This means, in theory, you can get a trained model suitable

What the heck is an annotation group?

If you're wondering this, you're not alone. The annotation group is the category that encompasses all of the classes in your dataset. It answers the question "What kind of things

Roboflow Joins Y Combinator's Summer 20 Batch

Roboflow is enabling any developer to use computer vision (without being a machine learning expert). Computer vision is the first technology that fundamentally allows us to rewrite human-computer interaction. Until

Video: How to Use Amazon Rekognition Custom Labels with Roboflow

Recently, we co-hosted a webinar with Mark McQuade of Onica, an AWS Premier Consulting Partner, about using Roboflow along with AWS Rekognition Custom Labels to train and deploy a custom

The crazy story of how we got our .com domain

For almost a year, Roboflow has lived at roboflow.ai. It's served us well but we have always lusted after the dot com. No longer! We managed to acquire roboflow.

Ontology Management for Computer Vision

As their projects mature and dataset sizes grow, most teams wrestle with label and class management. Slicing and dicing data is more of an art than a science and you

Advanced Augmentations in Roboflow

Roboflow Pro now supports Cutout and Mosaic. Recent research has shown there is still plenty of room to grow model performance through augmenting our training data. Roboflow has written extensively

Roboflow can now ingest video!

One of the most common questions we get is "How can I use computer vision object detection models with video?" The answer is simple: you treat each frame as an

Roboflow vs Scale

A question we often get is "How is Roboflow different from Scale?" The truth is, Roboflow works great in conjunction with outsourced labeling services like Scale, LabelBox, Amazon SageMaker Ground

Introducing New Roboflow Pricing

It's now even easier to scale up projects with Roboflow. We launched Roboflow in January with the mission of democratizing computer vision. Our thesis is simple: you shouldn't need to

When Should I Auto-Orient My Images?

The recommended Roboflow setting is "Auto-Orient: Enabled"When should you auto-orient your images?The short answer: almost always.When an image is captured, it contains metadata that dictates the orientation

Introducing the Roboflow Model Library

Over the past few months we've been building up a library of easy to use, open source computer vision models. We've now given them a home: the Roboflow Model Library.

How to Create a Synthetic Dataset for Computer Vision

The appeals of synthetic data are alluring: you can rapidly generate a vast amount of diverse, perfectly labeled images for very little cost and without ever leaving the comfort of your office. The good news is: it's easy to try! And we're about to show you how.

How to Win Pioneer

Pioneer.app is an online startup accelerator where companies are chosen based (partially) on weekly peer-review of progress updates. Roboflow has now been #1 on the global leaderboard for 18

A popular self-driving car dataset is missing labels for hundreds of pedestrians

And that's a problem that is extremely dangerous. Machine learning, the process of teaching computer algorithms to perform new tasks by example, is poised to transform industries from agriculture to