Blog

Joseph Nelson

Roboflow cofounder and CEO. On a mission to transform every industry by democratizing computer vision. Previously founded and sold a machine learning company.

Latest Posts by Joseph Nelson

We Raised a $20M Series A to Continue Democratizing Computer Vision

16 Sep 2021 • 3 min read

We Raised a $20M Series A to Continue Democratizing Computer Vision

Today, Roboflow is excited to announce our $20 million Series A led by Craft Ventures to expand on our mission to give software the sense of sight. Lachy Groom, who co-led the seed with Craft, also participated in the round. Additionally, we welcomed new investment from leaders like Jack

What is TensorRT?

9 Sep 2021 • 3 min read

What is TensorRT?

SUMMARY TensorRT is NVIDIA's inference optimization framework, built to run machine learning models as fast as possible on NVIDIA GPU hardware via CUDA cores. To use it, you typically train in PyTorch or TensorFlow and then convert your model to TensorRT format. This post covers the CUDA vs

rekognition

30 Aug 2021 • 1 min read

What is Amazon Rekognition?

SUMMARY Amazon Rekognition is an off-the-shelf computer vision API that detects and classifies a fixed set of common objects (furniture, plants, and similar generic categories) from images sent via HTTP. It works well for those predefined categories, but if your application needs to detect domain-specific objects not

What is CoreML?

16 Aug 2021 • 1 min read

What is CoreML?

SUMMARY CoreML is Apple's on-device machine learning inference framework, designed to run models efficiently on iPhones and other Apple hardware by routing computation through Apple's Neural Engine for lower latency and reduced power draw. Models are stored as .mlmodel files and can be created with

What is ONNX?

1 Aug 2021 • 1 min read

What is ONNX?

Learn what ONNX is and when it i sused in computer vision.

Roboflow for Students and Universities

30 Jul 2021 • 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.

oceans

19 Jul 2021 • 3 min read

Using Computer Vision to Clean the World's Oceans

SUMMARY Researchers from CSU Monterey Bay, The Ocean Cleanup, and UC San Diego built a computer vision model to detect underwater plastic debris for autonomous underwater vehicles. Using a 3,200-image dataset collected from real California field sites and annotated with Roboflow, the team compared YOLOv4, YOLOv4-tiny, and

atos

7 Jul 2021 • 7 min read

How Atos Uses Computer Vision to Monitor Office Occupancy

SUMMARY Atos, a digital transformation firm with over 100,000 employees, built a privacy-first office occupancy counter using computer vision and Roboflow, going from initial data collection to a production client demo running on an NVIDIA Jetson Nano in under 60 days. The system connects to existing security camera

13 Jun 2021 • 5 min read

How to Train with Microsoft Azure Custom Vision and Roboflow

SUMMARY Teams with existing Microsoft Azure credits can route their Roboflow datasets directly into Azure Custom Vision for training by linking API keys once at the workspace level. After that connection is established, any versioned Roboflow dataset (including preprocessing and augmentation steps applied in Roboflow) can be exported to Azure

How Computer Vision Streamlines Risk Avoidance Workflows in Oil & Gas

19 May 2021 • 6 min read

How Computer Vision Streamlines Risk Avoidance Workflows in Oil & Gas

SUMMARY In Canadian oil and gas operations, regulators require companies to identify and notify landowners whose property falls within a proposed pipeline's consultation area, a task that traditionally meant manually digitizing house locations one by one in ArcGIS. This guest post by Douglas Long describes replacing that manual

Prompt Engineering: The Magic Words to using OpenAI's CLIP

17 May 2021 • 4 min read

Prompt Engineering: The Magic Words to using OpenAI's CLIP

SUMMARY OpenAI's CLIP model performs zero-shot image classification by matching text prompts to image content, but the exact wording of each prompt has a significant effect on accuracy. This post walks through that sensitivity using a rock, paper, scissors hand-sign dataset, showing how prompts like "

Partnering with Luxonis and OpenCV for Seamless Deployment to OpenCV AI Kit

5 May 2021 • 3 min read

Partnering with Luxonis and OpenCV for Seamless Deployment to OpenCV AI Kit

SUMMARY Roboflow and Luxonis have partnered to let users train a custom computer vision model and deploy it to the OAK-1 or OAK-D via a Docker container, eliminating the manual steps of model format conversion to OpenVINO and dependency setup that previously caused silent accuracy regressions. After training

Image Augmentations for Aerial Datasets

26 Apr 2021 • 3 min read

Image Augmentations for Aerial Datasets

Learn how to apply image augmentations to aerial datasets for use in training computer vision models.

Our Favorite Computer Vision Courses

11 Apr 2021 • 3 min read

Our Favorite Computer Vision Courses

SUMMARY The right computer vision course depends heavily on what you want to build and how much you already know. This guide organizes recommendations by learner type: Andrew Ng's AI for Everyone for non-technical conceptual grounding, fast.ai and Roboflow's own tutorials for practitioners who

ibm watson

4 Apr 2021 • 7 min read

How to Use Roboflow with IBM Visual Recognition (IBM Watson vs Roboflow)

SUMMARY IBM shut down IBM Visual Recognition in 2021, leaving teams mid-project and needing a path forward. This post walks through two methods for exporting data out of IBM Visual Recognition and IBM Cloud Annotations, then compares what to look for in a replacement platform, covering annotation speed, active

embedded machine learning and embedded ai systems

20 Mar 2021 • 4 min read

What Is Embedded Machine Learning?

SUMMARY Embedded machine learning is the practice of running inference directly on microcontrollers and low-power hardware, such as a Raspberry Pi, NVIDIA Jetson, or Luxonis OAK, rather than sending data to a cloud server. Shrinking model sizes and cheaper, faster hardware have made this practical: inference requires far fewer

14 Mar 2021 • 9 min read

How We Built Paint.wtf, an AI Game with 150,000+ Submissions that Judges Your Art

SUMMARY Paint.wtf is an online drawing game built by Roboflow and Booste that uses OpenAI's CLIP model to score user submissions against absurdist text prompts, ranking drawings by how closely their image embeddings match the prompt's text embedding. GPT-2 generated the bulk of the

8 Feb 2021 • 4 min read

Using Computer Vision to Help Win $1 Million in Mountain Dew's Big Game Contest

SUMMARY Mountain Dew's Super Bowl LV ad challenged viewers to count the exact number of bottles in the commercial for a $1 million prize, and this post builds an object detection model to assist with that count. The 30-second video was sampled at three frames per second

How to Train and Deploy a License Plate Detector to the Luxonis OAK

8 Feb 2021 • 7 min read

How to Train and Deploy a License Plate Detector to the Luxonis OAK

In this post, we will leverage Roboflow and the Luxonis OAK to train and deploy a custom license plate model to your OAK device.

Teams for All: Create Free Teams on Roboflow

17 Jan 2021 • 2 min read

Teams for All: Create Free Teams on Roboflow

SUMMARY Roboflow now offers free teams, letting groups of three or fewer collaborate on datasets, annotation, and model deployment within a single shared workspace using individual API keys per account. Team members can share any dataset they own, annotate images together, and manage uploads and inference without sharing credentials. Larger

transfer

13 Jan 2021 • 4 min read

A Primer on Transfer Learning

SUMMARY Transfer learning lets you apply weights a model learned on one problem to a related problem, cutting training time and reducing the labeled data you need to get started. In practice this means initializing from a model already trained on a large dataset like COCO or ImageNet, then fine-

seed

12 Jan 2021 • 2 min read

Announcing Roboflow’s Seed Round

Computer vision is a generational technology. Like the PC, internet, and mobile phones, computer vision’s impact will reshape every industry. In transportation, for example, the advent of machine vision gives rise to self-driving cars, rewiring how we navigate the world around us. Manufacturing companies are finding and reducing

How To Annotate Images with Your Team Using Roboflow

25 Dec 2020 • 3 min read

How To Annotate Images with Your Team Using Roboflow

SUMMARY Splitting annotation work across a team in Roboflow involves creating one dataset per annotator, sharing each dataset with the full team so everyone can see examples from colleagues, and then merging the individually labeled datasets into a single combined dataset once all images are labeled. This workflow keeps annotation

Share Your Datasets with the Computer Vision Community

6 Dec 2020 • 2 min read

Share Your Datasets with the Computer Vision Community

SUMMARY Roboflow offers to publicly host community-contributed computer vision datasets, making them discoverable to tens of thousands of developers and automatically indexed by Google Dataset Search. Hosted datasets are available for download in every major annotation format, including Pascal VOC XML, COCO JSON, and TFRecords, with no conversion work

Stay Connected

Get the Latest in Computer Vision First