Roboflow Blog

27 Oct 2022 • 4 min read

Blurring Faces to Preserve Privacy with Computer Vision

Quote of the day: “Keep calm and carry on.”  -Winston Churchill Computer vision applications can be used in a variety of settings and sometimes information captured in your dataset might not be information you want to be responsible for having such as personally identifiable information, banking information, or any other

26 Oct 2022 • 4 min read

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 of instance segmentation, offers users an additional image segmentation project type to build computer vision pipelines with Roboflow. What is

21 Oct 2022 • 8 min read

What is an Autoencoder?

In this blog post, we are going to introduce autoencoders, describe the several autoencoder types that exist, and showcase their applications. An autoencoder is an artificial neural network used to learn data encodings in an unsupervised manner. In other words, the autoencoder has to look at the data and construct

21 Oct 2022 • 5 min read

What is Object Tracking in Computer Vision?

Learn about object tracking and how it is used in computer vision.

20 Oct 2022 • 5 min read

Top 6 Manufacturing Datasets for Computer Vision

Explore six manufacturing datasets you can use for computer vision projects.

20 Oct 2022 • 6 min read

Accelerate PyTorch Models via OpenVINO™ Integration with Torch-ORT

According to Gartner, 85% of machine learning projects fail. So, when you do get a model into production, it's important to have great accuracy and performance when it comes to inference. One way to address this issue is to use accelerated inference, a technique that can speed up

18 Oct 2022 • 8 min read

How to Use Computer Vision to Control OBS Studio

Learn how to use computer vision to control OBS Studio.

14 Oct 2022 • 3 min read

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. Our goal is to democratize access to computer vision and when it comes to building vision applications, gathering data for training vision models is extremely time consuming. Starting

14 Oct 2022 • 2 min read

Roboflow Joins AWS Global Startup Program and Becomes AWS ISV Accelerate Partner

Roboflow is on a mission to democratize computer vision and Amazon Web Services (AWS) powers Roboflow’s model pipeline, which allows us to put computer vision into the hands of all developers. Roboflow is available in the AWS Marketplace and committed to serving enterprise customers alongside AWS to deliver best-in-class

13 Oct 2022 • 4 min read

Sharing Your Computer Vision Project on Roboflow Universe

In this guide, learn how to launch your computer vision project on Roboflow Universe.

13 Oct 2022 • 3 min read

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 of the model. As of today, Roboflow is making that easier for all users by supporting YouTube video links for

1 Oct 2022 • 4 min read

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.

28 Sep 2022 • 3 min read

Launch: Smart Polygon Labeling

Roboflow 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 datasets. Polygon annotations are critical to prepare datasets for training instance segmentation or semantic segmentation models and can often improve model accuracy when used

28 Sep 2022 • 6 min read

Object Detection vs. Image Classification vs. Keypoint Detection

Learn what object detection, classification, and keypoint detection are, and when tech technique is useful.

28 Sep 2022 • 9 min read

Supervised Learning vs. Unsupervised Learning: Explained

Learn what supervised and unsupervised learning are and how they compare.

21 Sep 2022 • 12 min read

How to Measure Distance in Photos and Videos Using Computer Vision

Learn how to measure distance in photos and videos using computer vision.

21 Sep 2022 • 9 min read

How to Train YOLOv5 Instance Segmentation on a Custom Dataset

Learn how to train a YOLOv5 instance segmentation model on a custom dataset.

20 Sep 2022 • 2 min read

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  you don't want to futz with installing CUDA [https://blog.roboflow.com/what-is-cuda/] and Docker, we've

14 Sep 2022 • 8 min read

Using Computer Vision with Drones for Georeferencing

You can extract information about objects of interest from satellite and drone imagery using a computer vision model, but a machine learning model will only tell you where an object is in an image, not where it is on the globe. To get the objects' GPS position, you need

9 Sep 2022 • 4 min read

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.

7 Sep 2022 • 2 min read

Roboflow now available in the AWS Marketplace

Roboflow’s end-to-end computer vision platform is transforming the way businesses use computer vision and now you can get Roboflow through the AWS Marketplace, making it easier to purchase for AWS customers. With 100,000+ developers and over half the fortune 100 using Roboflow, many of our users rely on

7 Sep 2022 • 7 min read

How I use Computer Vision and Twilio to Guarantee Availability at Busy Public Tennis Courts

Some people don’t follow the rules at public tennis courts. Most city courts are first-come-first-serve, and you’re meant to limit play to a set amount of time if people are waiting. However, people often try to get away with a tiebreak set after using the court for over

5 Sep 2022 • 5 min read

Train Activity Recognition Models Using Spectrograms and Computer Vision

As Ph.D. students in the Active Robotics Sensing Lab (ARoS) at NC State under the supervision of Dr. Edgar Lobaton, we developed in conjunction with The Engineering Place at NC State a set of activities to walk high school students through the entire computer vision pipeline.

30 Aug 2022 • 7 min read

WTF COCO - The Weird Images that Underpin Modern Computer Vision Models

COCO is an industry standard dataset for benchmarking the performance of object detection models. The dataset was created by "gathering images of complex everyday scenes containing common objects in their natural context" and contains image annotations in 91 categories, with over 1.5 million object instances. People have