Product Updates

23 Aug 2021 • 3 min read

What is Zero Shot Object Tracking?

We are exciting to announce that you can now track objects frame over frame in video and camera stream using the Roboflow Inference API and the open source zero shot object tracking repository, without having to train a separate classifier for your object track features.

11 Aug 2021 • 3 min read

Roboflow Universe: the Computer Vision Community

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

7 Aug 2021 • 1 min read

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 on a new product we'll be releasing at our Launch Party on Wednesday, August 11 -

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.

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 and get an infinitely scalable API to receive predictions and you can also deploy directly to devices like the NVIDIA Jetson, OpenCV AI Kit, and even directly into users' web browsers. But what if you have

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.

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&

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, training, deployment, and annotation. We have supported uploading, augmenting, and converting classification datasets for models like OpenAI's CLIP

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 pipelines to rapidly create improved model performance. When it comes to the training step, developers should optimize for ease. Roboflow Train enables teams to

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

5 May 2021 • 8 min read

How to Train and Deploy Custom Models to Your OAK

In this blog, we'll walk through the Roboflow custom model deployment process to the OAK and show just how seamless it can be.

5 May 2021 • 3 min read

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

Deploying computer vision models to the edge is critical to unlocking new use cases like in places with limited internet connectivity or where minimal latency is essential. That might be deploying to a rural field in agriculture or computer vision in high throughput manufacturing. As a part of our partnership

4 May 2021 • 1 min read

Roboflow Changelog: May 2021

The changelog is our compendium of monthly updates. If you want to take a walk down memory lane, you can being your trip back in time with last month's edition. In April, our major product efforts centered around launching our brand new user interface. This redesign of our

18 Apr 2021 • 1 min read

Roboflow's new User Interface

When you log into your Roboflow account you'll notice a fresh look, but the features you know and love are all still just a click away. We've reorganized the app to make things easier to find, simpler to navigate, and primed for future enhancement. Datasets are

4 Apr 2021 • 6 min read

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

IBM recently announced they are shutting down IBM Visual Inspection, their product for creating custom computer vision models for classification and object detection. No new instances can be created and all current instances will be fully shutdown in December 2021. This has left many looking for IBM Visual Inspection alternatives.

1 Apr 2021 • 1 min read

Roboflow Changelog: April 2021

Each month we bring you the high level bullet-points of improvements and additions to Roboflow. If you missed it, last month's changelog is here. In March we were focused on expanding Roboflow's inference capabilities with the release of on-device NVIDIA Jetson support, our open source video

22 Mar 2021 • 1 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

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

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. 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, improving infrastructure, and preparing for

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 and

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. The biggest new features released this month were transfer learning and Label Assist. Roboflow Organize * Announced teams for all (now teams of up to 3 people can collaborate on the Starter Plan

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

17 Jan 2021 • 2 min read

Teams for All: Create Free Teams on Roboflow

Machine learning is a team sport, and getting a computer vision model to production is no exception. All parts of the process are improved with a team: collecting data from multiple sources; annotating data with colleagues; sharing versioned datasets; and using deployed models. We're pleased to introduce free

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