Product Updates

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

Roboflow Changelog: March 2021

The monthly changelog showcases improvements in Roboflow over the past month. You can find the previous changelog here [https://blog.roboflow.com/changelog-february-2021/]. In February we had a major focus

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

Roboflow Changelog: February 2021

Welcome to our monthly roundup post of new features and enhancements. You can find the previous changelog here [https://blog.roboflow.com/changelog-january-2021/]. The biggest new features released this month

Announcing Model Assisted Labeling

Now you can use trained models to speed up your annotation flow. One of the most time-consuming parts of the computer vision workflow is curating a high-quality dataset. When we

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

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.

Introducing the Object Count Histogram

We are excited to announce the introduction of object count histograms, now available in the Roboflow dataset health check.

Roboflow Changelog: January 2021

Welcome to our monthly changelog where we catalog our recent feature additions and improvements. If you missed it, you can find last month's changelog here [https://blog.roboflow.

Get a Hosted API for your Object Detection Model

Roboflow provides tools for labeling [https://roboflow.com/annotate], organizing [https://docs.roboflow.com/], and training [https://docs.roboflow.com/train] a computer vision model [https://models.roboflow.com]. Once

Introducing Roboflow Annotate

Since we launched Roboflow [https://roboflow.com] in early 2020, our vision has always been to improve and streamline the workflow of computer vision projects so that developers can focus

Share Your Datasets with the Computer Vision Community

Computer vision problems start with finding high quality image datasets. Fortunately, access to common image data is increasingly easier. Datasets like Microsoft's COCO dataset [https://blog.roboflow.com/

Roboflow Changelog: December 2020

Welcome to the first of our monthly changelogs where we will be cataloging our recent feature additions and improvements. Roboflow Organize * Added ability to rebalance train/test split [https://blog.

Revamping Train, Validation, Test, Split Management

Splitting data into train, validation, and test splits is essential to building good computer vision models. Today, we are announcing in-app changes to Roboflow that make it even easier to manage your train test splits as you are working through the computer vision workflow.

Hands on with the Roboflow Infer Web Application Interface Builder

After you train a model with Roboflow Train [https://docs.roboflow.com/train], you're provided with three immediate ways to use your model: a curl command, the direct

Evaluating Object Detection Models with mAP by Class

When evaluating an object detection model in computer vision, mean average precision [https://blog.roboflow.com/mean-average-precision/] is the most commonly cited metric for assessing performance. Remember, mean average precision

Train Test Split Guide and Overview

In order to ensure our models are generalizing well (rather than memorizing training data), it is best practice to create a train, test split. [https://blog.roboflow.com/train-test-split/] That

Introducing an Improved Shear Augmentation

Today, we introduce a new and improved shear augmentation. We'll walk through some details on the change, as well as some intuition and results backing up our reasoning.

Introducing Grayscale and Hue/Saturation Augmentations

Roboflow [https://roboflow.com] is constantly improving how developers can build better computer vision models based on better input data. One key piece to this puzzle is enabling users to

Explore Images, Annotations, and Metadata Easier

Keeping track of images and their corresponding annotations [https://blog.roboflow.com/glossary/#:~:text=annotation] is a challenge. Knowing which annotations map to which class, viewing image metadata, and seeing

The crazy story of how we got our .com domain

For almost a year, Roboflow (our computer vision dataset management tool [https://roboflow.com]) has lived at roboflow.ai [https://roboflow.ai]. It's served us well but we

Ontology Management for Computer Vision

As their projects mature and dataset sizes grow, most teams wrestle with their workflow. Slicing and dicing data is more of an art than a science and you will want

Advanced Augmentations in Roboflow

Roboflow Pro now supports Cutout and Mosaic. Recent research has shown [https://arxiv.org/abs/2005.04757] there is still plenty of room to grow model performance through augmenting our

Roboflow can now ingest video!

One of the most common questions we get is "How can I use computer vision object detection models with video?" The answer is simple: you treat each frame

Introducing Class Label Remapping and Omission

With Roboflow Pro, you can now remap and omit class labels within Roboflow as a preprocessing step for your dataset version. Class management is a powerful tool to get the most out of your training data and your hard earned class label annotations.