Blog

Brad Dwyer

Roboflow cofounder and CTO. Building the computer vision infrastructure for developers. Previously founded Hatchlings and created Product Hunt's AR App of the Year.

Latest Posts by Brad Dwyer

How to Build Computer Vision Models with Apple CreateML

18 Sep 2020 • 5 min read

How to Build Computer Vision Models with Apple CreateML

What is CreateML? CreateML is a machine learning tool developed by Apple that you can use to build models that work with images, sound, text, and more. CreateML integrates with the rest of the Apple ecosystem, providing a no-code platform through which you can train models for use in your

What is an annotation group?

14 Sep 2020 • 2 min read

What 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 are labeled in this dataset?" Why do you need an annotation group? It'

Y Combinator

25 Aug 2020 • 2 min read

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 now, when using computers to interact with the world, humans would assess their environment, provide commands to a computer, and

Video: How to Use Amazon Rekognition Custom Labels with Roboflow

24 Aug 2020 • 1 min read

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 object detection model. In the video, we learn how to go end-to-end to train a custom mask / no mask detector.

website

21 Aug 2020 • 3 min read

The crazy story of how we got our .com domain

For almost a year, Roboflow (our computer vision dataset management tool) 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.com from the giant German company that owned it since 2001. The

Ontology Management for Computer Vision

3 Aug 2020 • 5 min read

Ontology Management for Computer Vision

As their projects mature and dataset sizes grow, most teams wrestle with their workflow. Slicing and dicing data is more of an art than a science and you will want to experiment with what works best for your problem over time (and, in fact, you will probably go through this

Advanced Augmentations in Roboflow

29 Jul 2020 • 2 min read

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 about data augmentation and has highlighted some of the recent advances that have made new models like YOLOv4 and YOLOv5

Roboflow can now ingest video!

23 Jul 2020 • 1 min read

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 image. But, in practice, that has been quite cumbersome. It's meant fumbling around with command line

vs scale

5 Jul 2020 • 1 min read

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, SuperAnnotate, Amazon SageMaker Ground Truth, and Mechanical Turk. We support importing your annotations directly from many of their APIs and Roboflow&

Introducing the Roboflow Model Library

28 Apr 2020 • 1 min read

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. There, you can access information about each model (we will even be adding pros/cons, and

synthetic image data generation

15 Apr 2020 • 12 min read

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.

pioneer leaderboard

20 Feb 2020 • 2 min read

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 consecutive weeks. In this post, I'm going to reveal our secrets and tell you how you can dethrone

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

11 Feb 2020 • 2 min read

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 [https://www.forbes.com/sites/bernardmarr/2019/03/15/the-amazing-ways-john-deere-uses-ai-and-machine-vision-to-help-feed-10-billion-people/] to insurance [https://news.microsoft.com/apac/features/ai-takes-the-pain-out-of-car-insurance-in-india/

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