Dataset Management

22 Jun 2022 • 3 min read

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 workflows [https://blog.roboflow.com/annotation-workflow/] for managing labeling in real-time across distributed teams. Market researchers believe that by 2028,

6 Jun 2022 • 7 min read

Detecting Lucky Charm Marshmallows Using Computer Vision - They're Mathematically Delicious

The marshmallows found in a box of Lucky Charms cereal, marbits as they were originally named by their creators Edward S. Olney and Howard S. Thurmon, are undoubtedly the best part of the classic breakfast cereal. In August of 2020, General Mills began selling pouches of "Just Magical Marshmallows&

17 May 2022 • 4 min read

Boxing Punch Detection Using Computer Vision

One of the best parts about joining Roboflow [https://roboflow.com/careers] is doing a computer vision project in your first 2 weeks. As someone who loves to workout, I wanted to focus my project on a fitness related use case. I often mix boxing workouts into my routine, and

24 Mar 2022 • 4 min read

Improving Computer Vision Datasets and Models

Common tips and tricks to improve your computer or machine vision dataset, including using Roboflow Train and the Dataset Health Check tools.

21 Mar 2022 • 7 min read

What is CVAT (Computer Vision Annotation Tool)?

Learn how to annotate images in CVAT, an open-source, web-based tool for labeling data for object detection, segmentation, classification, and other tasks.

2 Feb 2022 • 3 min read

Launch: Collaborative Annotations

Roboflow Annotate [https://roboflow.com/annotate] has become an essential tool used by tens of thousands of developers to label images of everything from planes [https://universe.roboflow.com/skybot-cam/overhead-plane-detector] to petri dishes [https://universe.roboflow.com/michael-shamash-f942a/onepetri]. Since its launch just over a year ago [https://blog.

30 Sep 2021 • 3 min read

Roboflow and Ultralytics Partner to Streamline YOLOv5 MLOps

We're proud to share that Roboflow has entered into a partnership agreement with Ultralytics, the creators of YOLOv5, and that Roboflow is now the official dataset management and annotation tool for YOLOv5 with a focus on enabling active learning. Over the past year, YOLOv5 has gained broad adoption

16 Jul 2021 • 4 min read

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.

20 Jun 2021 • 5 min read

For the People, By the People

Computer vision, on the whole, is an ambitious undertaking. We are developing technology that can see the world as we see it - to recognize simple objects like trees and croissants, and more complex occurrences like oil and methane leaks. Today, models can even read license plates and receipts. Computer

14 Jun 2021 • 7 min read

Building vs. Buying a Computer Vision Platform

“You could do what Roboflow does yourself but…why would you?” -Jack Clark, Co-Founder of Anthropic [https://www.anthropic.com/], former Policy Directory at OpenAI [https://openai.com/], It’s no secret that building a computer vision model on your own is hard work. It requires wrangling together different platforms,

24 May 2021 • 3 min read

What is a Cutout Augmentation and When Can it Help?

Applying data augmentations [https://blog.roboflow.com/boosting-image-detection-performance-with-data-augmentation/]is one of the most essential steps when developing your dataset. Roboflow offers a wide variety of augmentations that you can apply to your dataset including an augmentation called the cutout augmentation. In this blog you will learn: * What cutout augmentations are

3 May 2021 • 8 min read

The power of image augmentation: an experiment

One of the amazing things about computer vision is using existing images plus random changes to increase your effective sample size. Suppose you have one photo containing a coffee mug. Then, copy that photo and rotate it 10 degrees clockwise. From your point of view, you haven’t done very

27 Apr 2021 • 2 min read

Using videos as training data

Oftentimes, the visual data you'll want to analyze will come in the form of video. It may be security camera footage [https://roboflow.com/industries/safety-and-security], YouTube videos [https://blog.roboflow.com/using-computer-vision-to-find-brands-in-youtube-videos/], or webcam recordings [https://blog.roboflow.com/python-webcam/]. We know how to use Roboflow with

26 Apr 2021 • 3 min read

Image Augmentations for Aerial Datasets

Learn how to apply image augmentations to aerial datasets for use in training computer vision models.

26 Jan 2021 • 10 min read

Using Unity Perception to train an object detection model with synthetically generated images

Collecting images and annotating them with high-quality labels can be an expensive and time-consuming process. The promise of generating synthetic data to reduce the burden is alluring. In the past we have covered techniques such as augmentation [https://docs.roboflow.com/image-transformations/image-augmentation], context synthesis [https://blog.roboflow.com/how-to-create-a-synthetic-dataset-for-computer-vision/

6 Jan 2021 • 4 min read

Using Public Datasets to Improve your Computer Vision Models

Ok, so you've trained a model [https://blog.roboflow.com/how-to-train-yolov5-on-a-custom-dataset/] and it's not doing as well as you'd hoped. Now what? You could experiment with augmentation [https://blog.roboflow.com/boosting-image-detection-performance-with-data-augmentation/], try a different architecture [https://models.roboflow.com], or check your training

25 Dec 2020 • 3 min read

How To Annotate Images with Your Team Using Roboflow

Dataset annotation is better with teams: you can move more quickly, keep everyone on the same page, track annotation progress, and easier provide examples of what the ultimate dataset should look like. In this post, we'll walkthrough an example workflow of annotating data with your team using Roboflow

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

30 Nov 2020 • 5 min read

How to Run Jupyter Notebooks on an Apple M1 Mac

Learn how to run Jupyter Notebooks on Apple M1 Macbooks.

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

25 Sep 2020 • 3 min read

Getting Started with VGG Image Annotator for Object Detection Tutorial

Annotating your images is easy using the free, open source VGG Image Annotator. In this post we will walk through the steps necessary to get up and running with the VGG Image Annotator so you can quickly, and efficiently label your computer vision dataset for object detection [https://blog.roboflow.

4 Sep 2020 • 6 min read

Train, Validation, Test Split for Machine Learning

At Roboflow, we often get asked, what is the train, validation, test split and why do I need it? The motivation is quite simple: you should separate you data into train, validation, and test splits to prevent your model from overfitting and to accurately evaluate your model.