Roboflow Blog

25 Jul 2021 • 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.

21 Jul 2021 • 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:

19 Jul 2021 • 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 [https://www.epa.gov/sites/default/files/2015-09/documents/2012_msw_dat_tbls.pdf] indicate that 30 percent of all produced plastic will end up in the oceans. With this in mind, researchers Gautam

16 Jul 2021 • 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.

16 Jul 2021 • 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.

12 Jul 2021 • 11 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.

8 Jul 2021 • 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 Jul 2021 • 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

5 Jul 2021 • 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

4 Jul 2021 • 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&

2 Jul 2021 • 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.

28 Jun 2021 • 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 [https://blog.roboflow.com/what-does-end-to-end-really-mean/] like Roboflow, the process will always require you to source and aggregate starting data (images), generate versions of each dataset, train different variations

28 Jun 2021 • 2 min read

An Introduction to ImageNet

Learn what the ImageNet dataset is, how the dataset is structured, and applications for the dataset.

27 Jun 2021 • 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.

21 Jun 2021 • 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.

20 Jun 2021 • 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

16 Jun 2021 • 3 min read

The Joys of Sharing Models on OpenCV's Modelplace

If we could all get together and share our model creation and deployments, that would be a very good thing for the computer vision community. Modelplace is a big step in that direction.

14 Jun 2021 • 6 min read

How to Train MobileNetV2 On a Custom Dataset

In this post, we will walk through how you can train MobileNetV2 to recognize image classification data for your custom use case.

14 Jun 2021 • 7 min read

Building vs. Buying a Computer Vision Platform

“You could do what Roboflow does yourself but…why would you?” -Jack Clark, Co-Founder of Anthropic [https://www.anthropic.com/], former Policy Directory at OpenAI [https://openai.com/], It’s no secret that building a computer vision model on your own is hard work. It requires wrangling together different platforms,

13 Jun 2021 • 4 min read

How to Train with Microsoft Azure Custom Vision and Roboflow

Roboflow is a tool for building robust machine learning operations pipelines for computer vision: from collecting and organizing images, annotating, training, deploying, and creating active learning [https://blog.roboflow.com/what-is-active-learning/] pipelines to rapidly create improved model performance. When it comes to the training step, developers should optimize for ease.

6 Jun 2021 • 6 min read

How to Train the Hugging Face Vision Transformer On a Custom Dataset

Learn how to train a Hugging Face Vision Transformer on a custom dataset for classification.

2 Jun 2021 • 1 min read

Roboflow Changelog: June 2021

Each month, we publish a list of recent features and additions to the Roboflow suite of products. The previous month's update is here. In May there has been a bevy of backend changes to support a huge user-facing release coming next month. The most noticeable updates this month

30 May 2021 • 5 min read

What Does "End to End" Really Mean?

Developing, deploying and optimizing computer vision models used to be a cumbersome, painful process. With Roboflow, we sought to democratize this technology, which (first and foremost) meant knocking down the barriers that we perceived were preventing everyday people from exploring and implementing computer vision in their work and daily lives.

27 May 2021 • 6 min read

License Plate Detection and OCR on an NVIDIA Jetson

In this blog, we discuss how to train and deploy a custom license plate detection model to the NVIDIA Jetson. While we focus on the detection of license plates in particular, this guide also provides an end-to-end guide on deploying custom computer vision models to your NVIDIA Jetson on the edge.