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

Video Inference with Roboflow

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

Introducing Roboflow Support for NVIDIA Jetson

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

Roboflow Changelog: March 2021

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 [https://blog.roboflow.com/changelog-february-2021/]. 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,

Running Tensorflow JS on an NVIDIA Jetson

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

Introducing Upload Batches, the Unannotated Queue, and Mark as Null

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:

Roboflow Changelog: February 2021

3 Feb 2021 • 2 min read

Roboflow Changelog: February 2021

Welcome to our monthly roundup post of new features and enhancements. You can find the previous changelog here [https://blog.roboflow.com/changelog-january-2021/]. The biggest new features released this month were transfer learning [https://blog.roboflow.com/a-primer-on-transfer-learning/] and Label Assist [https://blog.roboflow.com/announcing-label-assist/]. Roboflow Organize * Announced teams

Using Unity Perception to train an object detection model with synthetically generated images

26 Jan 2021 • 10 min read

Using Unity Perception to train an object detection model with synthetically generated images

Collecting images and annotating them with high-quality labels can be an expensive and time-consuming process. The promise of generating synthetic data to reduce the burden is alluring. In the past we have covered techniques such as augmentation [https://docs.roboflow.com/image-transformations/image-augmentation], context synthesis [https://blog.roboflow.com/how-to-create-a-synthetic-dataset-for-computer-vision/

Launch: Model Assisted Labeling

25 Jan 2021 • 1 min read

Launch: Model Assisted Labeling

Use Roboflow Trained Models to Annotate Data One of the most time-consuming parts of the computer vision workflow is curating a high-quality dataset. When we launched Roboflow Annotate last month we aimed to streamline this process by launching an easy to use image annotation tool built right into your computer

How to Try CLIP: OpenAI's Zero-Shot Image Classifier

8 Jan 2021 • 5 min read

How to Try CLIP: OpenAI's Zero-Shot Image Classifier

Earlier this week, OpenAI dropped a bomb on the computer vision world.

Using the Upload API to Collect Images from the Wild

6 Jan 2021 • 3 min read

Using the Upload API to Collect Images from the Wild

The key to production quality machine learning models is continuous iteration and improvement. The first step is getting a model that is "good enough" for your first version. But once you deploy to the real world you'll invariably find edge cases that confuse your model. Collecting

Using Public Datasets to Improve your Computer Vision Models

6 Jan 2021 • 4 min read

Using Public Datasets to Improve your Computer Vision Models

Ok, so you've trained a model [https://blog.roboflow.com/how-to-train-yolov5-on-a-custom-dataset/] and it's not doing as well as you'd hoped. Now what? You could experiment with augmentation [https://blog.roboflow.com/boosting-image-detection-performance-with-data-augmentation/], try a different architecture [https://models.roboflow.com], or check your training

Roboflow Changelog: January 2021

3 Jan 2021 • 2 min read

Roboflow Changelog: January 2021

Welcome to our monthly changelog where we catalog our recent feature additions and improvements. If you missed it, you can find last month's changelog here [https://blog.roboflow.com/changelog-december-2020/]. This month we launched Roboflow Annotate [https://roboflow.com/annotate], an integrated image annotation tool included in all

Get a Hosted API for your Object Detection Model

28 Dec 2020 • 2 min read

Get a Hosted API for your Object Detection Model

Roboflow provides tools for labeling [https://roboflow.com/annotate], organizing [https://docs.roboflow.com/], and training [https://docs.roboflow.com/train] a computer vision model [https://models.roboflow.com]. Once you finish running one of the Jupyter notebooks from our Computer Vision tutorials [https://blog.roboflow.com/tag/tutorials/] you

Introducing Roboflow Annotate

8 Dec 2020 • 2 min read

Introducing Roboflow Annotate

Since we launched Roboflow [https://roboflow.com] in early 2020, our vision has always been to improve and streamline the workflow of computer vision projects so that developers can focus on the parts of their project that are unique, not on reinventing the wheel. But there's been one

Roboflow Changelog: December 2020

4 Dec 2020 • 1 min read

Roboflow Changelog: December 2020

Welcome to the first of our monthly changelogs where we will be cataloging our recent feature additions and improvements. Roboflow Organize * Added ability to rebalance train/test split [https://blog.roboflow.com/revamping-train-test-split-management/] * Clarified pro plan features [https://roboflow.com/pro] in-app * Sped up thumbnail generation * Added image upload by

Software Engineering Daily Podcast

14 Oct 2020 • 31 min read

Software Engineering Daily Podcast

Roboflow co-founder Brad Dwyer was a guest on the Software Engineering Daily podcast. Listen on your favorite podcast app (Apple Podcasts [https://podcasts.apple.com/us/podcast/roboflow-computer-vision-models-with-brad-dwyer/id1019576853?i=1000494590488] , Spotify [https://open.spotify.com/episode/0UMVZuPpHLyG1FXSgqdO1r], Overcast [https://overcast.fm/+E6UAli-6Y], Stitcher [https://www.stitcher.com/podcast/software-engineering-daily/

Fighting Wildfires with Computer Vision

12 Oct 2020 • 1 min read

Fighting Wildfires with Computer Vision

Abhishek Ghosh is training a computer vision model to detect the first signs of smoke from a forest fire with the ultimate hope of dispatching a drone to douse it with water before it gets out of control. It's all part of a project he's working

Roboflow Wins $15,000 Award

6 Oct 2020 • 2 min read

Roboflow Wins $15,000 Award

Roboflow is honored to be named as one of Iowa's most promising startups and one of the top 3 winners of the Pappajohn Entrepreneurial Venture Competition. The annual awards honor companies with innovative technology that have grown quickly. Since launching in January, Roboflow has helped over 8,000

Glossary of Common Computer Vision Terms

5 Oct 2020 • 23 min read

Glossary of Common Computer Vision Terms

Computer Vision (and Machine Learning in general) is one of those fields that can seem hard to approach because there are so many industry-specific words (or common words used in novel ways) that it can feel a bit like you're trying to learn a new language when you're trying to get started.

Training Robots to Identify Other Robots

22 Sep 2020 • 3 min read

Training Robots to Identify Other Robots

Amitabha Banerjee [https://twitter.com/hiamitabha] used YOLOv5 [https://models.roboflow.com/object-detection/yolov5] and Roboflow to teach his Anki Vector robot to detect other robots. This is not only a fun project to teach machine learning but it could have real world implications as well. In the future, we&

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'

Roboflow Joins Y Combinator's Summer 20 Batch

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 [https://onica.com], an AWS Premier Consulting Partner, about using Roboflow along with AWS Rekognition Custom Labels [https://blog.roboflow.com/automl-vs-rekognition-vs-custom-vision/] to train and deploy a custom object detection model [https://docs.roboflow.com/train]. In the video, we

Stay Connected

Get Our Latest Content Delivered Directly to Your Inbox