Product Updates

Launch: Use Universe Models for Label Assist and Training

In this guide, learn how to use public models on Roboflow Universe to assist you with labeling and to speed up the process of building an accurate model.

Launch: Collaborative Annotation Updates

Roboflow’s Collaborative Annotation [https://blog.roboflow.com/annotation-workflow/] and Label Only User [https://blog.roboflow.com/labeler-access/] features have helped over 100,000 users annotate more than 100 million

Launch: Roboflow Notebooks Repo Integration with SageMaker Studio Labs

The Roboflow Notebooks GitHub repo [https://github.com/roboflow-ai/notebooks] contains over 20 open source computer vision notebooks with step-by-step guides on using 13 different computer vision model architectures. Along

Launch: Roboflow Integration with Ultralytics HUB

Ultralytics, the creators of YOLOv5, and Roboflow now support an integration making it easier to import YOLOv5 models from HUB to Roboflow, export datasets to Ultralytics HUB from Roboflow, and

Roboflow Changelog: November 2022

Each month, we share a recap of product and company updates. In this post, we detail Roboflow's updates from November 2022.

Launch: Roboflow Command-line Interface

The Roboflow CLI will improve workflows and the ability to use Roboflow when building computer vision applications. You can use the new Roboflow CLI to access information about your workspaces

Roboflow Changelog: October 2022

Each month, we share a recap of product and company updates. In this post, we detail Roboflow's updates from October 2022.

Launch: Semantic Segmentation for Labeling, Training, Deployment

Roboflow now supports semantic segmentation projects end-to-end allowing you to use Roboflow Annotate to label data, Roboflow Train to build models, and Roboflow Deploy for inference. This release, alongside support

Launch: Cloning Images from Open Source Datasets

Since its launch in August 2021, Roboflow Universe has become the largest collection of open source datasets and pre-trained computer vision models [https://blog.roboflow.com/computer-vision-datasets-and-apis/]. Our goal is

Launch: Use YouTube Videos for Training Data and Inference Testing

When building a computer vision application from scratch, two of the most time consuming parts of the process are finding data to train the model and quickly testing the performance

Roboflow Changelog: September 2022

Each month, we share a recap of product and company updates. In this post, we detail Roboflow's updates from September 2022.

Launch: Smart Polygon Labeling

Roboflow Annotate [https://roboflow.com/annotate] now offers automated polygon labeling for all users. With as few as one click, you can apply a polygon annotation to objects in your

Launch: Test Computer Vision Models Locally

Roboflow has extensive deployment options [https://roboflow.com/deploy] for getting your model into production. But, sometimes, you just want to get something simple running on your development machine. If

Roboflow Changelog: July & August 2022

Each month, we share a recap of product and company updates. In this post, we detail Roboflow's updates from July and August 2022.

Launch: Dataset Search

Roboflow Annotate has been used to manage and label 90,000 datasets containing 66 million images and starting today you can now use text based search queries to better understand

Launch: Deploy Computer Vision Models to a Raspberry Pi

💡Roboflow Inference, which you can use to deploy models to a Raspberry Pi, is now available as an open source project. We recommend following the Roboflow Inference documentation to set

Deploy a Computer Vision Model: A How-To Guide

Answering the question "how do I deploy a computer vision model?" can be difficult. There are so many options. Which one should you choose? How do you deploy

How to Use Polygon Annotation and Labeling with Roboflow

Polygons have traditionally been used for training image segmentation models, but they can also improve the training of object detection models. Object detection models are typically much faster and more widely supported, so they're still the best choice for solving many problems.

Launch: Search Datasets and Assign Jobs

Roboflow Annotate [https://docs.roboflow.com/annotate] has been used to label over 66 million images and as teams collaborate to manage large datasets [https://blog.roboflow.com/annotation-workflow/], it’

Roboflow Changelog: May & June 2022

Each month, we share a recap of product and company updates. Here's what's new for May and June in 2022!

Launch: Roboflow Native iOS SDK

Constrained bandwith? Left without the option to extend production data beyond your local network or corporate firewall? In need of real-time inference speeds on the edge? The Roboflow Mobile iOS SDK is a great option if you are developing an iOS application.

Open source datasets and pre-trained models for computer vision

90,000 Datasets and 7,000 Pre-trained Models Available Roboflow Universe [https://universe.roboflow.com/] launched in August 2021 with 50 open source datasets and opened our computer vision infrastructure

Launch: Label Only Role-based Access Control

Roboflow Annotate [https://roboflow.com/annotate] has been used to label over 66 million images and teams have been able to label more images with our recent release of collaborative

Roboflow Now Available in the Microsoft Azure Marketplace

Microsoft Azure customers worldwide can now gain access to Roboflow to take advantage of the end-to-end computer vision platform to give their software the sense of sight. We’re pleased

Launch: Instance Segmentation Project Training and Inference

What Is Instance Segmentation? Instance segmentation [https://blog.roboflow.com/instance-segmentation-roboflow/], also known as image segmentation, is the computer vision task of recognizing objects in images along with their associated