Product Updates

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 • 2 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 [https:

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

4 Jan 2021 • 2 min read

Introducing the Object Count Histogram

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

3 Jan 2021 • 2 min read

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. This month we launched Roboflow Annotate, an integrated image annotation tool included in all Roboflow plans. In the first few weeks, over 1500

28 Dec 2020 • 2 min read

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 you finish running one of the Jupyter notebooks from our Computer Vision tutorials [https://blog.roboflow.com/tag/tutorials/] you

8 Dec 2020 • 2 min read

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 on the parts of their project that are unique, not on reinventing the wheel. But there's been one

6 Dec 2020 • 1 min read

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/coco-dataset/] and the Pascal VOC dataset [https://public.roboflow.com/object-detection/pascal-voc-2012] provide a standard for common objects and measuring

4 Dec 2020 • 1 min read

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 * Clarified pro plan features in-app * Sped up thumbnail generation * Added image upload by URL to the upload API * Paginated the image listing

20 Nov 2020 • 2 min read

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.

8 Nov 2020 • 3 min read

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 URL, and an Example Web App. In this post, we'll demonstrate hands on how to use the web

3 Nov 2020 • 3 min read

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 is a measure of our model's ability to correctly predict bounding boxes at some confidence level – commonly mAP@

28 Oct 2020 • 2 min read

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. That is, absent rigor, our models can easily overfit to a small subset of examples we've collected. Look no further than Tesla using computer

12 Oct 2020 • 2 min read

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.

27 Sep 2020 • 3 min read

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 select augmentations that best improve dataset representation through augmentation. Augmentation creates altered training data based on existing examples. Image augmentation

2 Sep 2020 • 2 min read

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 which images correspond to a training, validation, and testing set [https://blog.roboflow.com/train-test-split/] can quickly become a sprawling

21 Aug 2020 • 3 min read

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 have always lusted after the dot com. No longer! We managed to acquire roboflow.com [https://roboflow.com] from the