Latest Posts

Roboflow Universe: the Computer Vision Community

We’re excited to introduce Roboflow Universe, the new hub for computer vision datasets and pre-trained models.

What is OpenVINO?

"ML in a Minute" is our conversational series on answering machine learning questions. Have questions you want answered? Tweet at us. What is OpenVINO (in 60 Seconds or Fewer)?OpenVINO

Roboflow Changelog: August 2021

Each month we share a recap of our monthly updates and releases in the Roboflow Changelog. The previous Changelog is available here. In July, the product team's major emphasis was

Using Computer Vision to Accelerate Microbiology Research and Combat Antibiotic Resistance

Michael Shamash is a Master’s student in the Maurice Lab at Canada's McGill University. Michael used Roboflow to streamline the production of a model and iOS app for use in microbiology.

Transformers Take Over Object Detection

It seemed just like a matter of time... and now the Transformers neural networks have landed - Microsoft's DyHead achieves state of the art object detection using a Transformer backbone.

How to Train YOLOX On a Custom Dataset

The YOLO family continues to grow with the next model: YOLOX. In this post, we will walk through how you can train YOLOX to recognize object detection data for your custom use case.

What is ONNX?

"ML in a Minute" is our conversational series on answering machine learning questions. Have questions you want answered? Tweet at us. What is ONNX (in 60 Seconds or Fewer)?ONNX

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.

What is CUDA?

"ML in a Minute" is our conversational series on answering machine learning questions. Have questions you want answered? Tweet at us. What is CUDA (in 60 Seconds or Fewer)?CUDA

Active Learning Tips: How to Continuously Improve Your Production Model

You've built your first model and plan to get it deployed to production. Now what? Like any software, the computer vision model needs to be continuously improved for potential edge

Experimenting with CLIP+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

Announcing On-Prem and Offline Mode for Roboflow Deploy

With Roboflow, you can train a custom computer vision model in one click and get an infinitely scalable API to receive predictions and you can also deploy directly to devices

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 indicate that 30 percent of all produced plastic will end up in the oceans.

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.

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.

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.

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.

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

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

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

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.

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 like Roboflow, the process will always require you

An Introduction to ImageNet

The ImageNet dataset is long-standing landmark in computer vision. The impact ImageNet has had on computer vision research is driven by the dataset's size and semantic diversity. Let's dive into

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,

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.