• 7 min read
What is a Segmentation Mask? An Introduction.
In this guide, you will learn how to create segmentation masks with the results of a computer vision model hosted on Roboflow.
• 6 min read
Top 6 Environment Datasets for Computer Vision Projects
In this article, we highlight six open-source datasets you can use to solve various problems related to the environment with computer vision.
• 5 min read
📸 Roboflow 100: A Multi-Domain Object Detection Benchmark
Roboflow 100 (RF100) is a crowdsourced object detection benchmark. The dataset consists of 100 datasets, 7 imagery domains, 224,714 images, and 829 class labels with over 11,170 labeling hours.
• 13 min read
Turn Analog Dials into Digital Data with Computer Vision
In this article, we discuss how to turn information displayed on analog dials into digital data.
• 8 min read
What is a Confusion Matrix? A Beginner's Guide.
In this guide, we discuss what a confusion matrix is and how to use them to evaluate the performance of a computer vision model.
• 6 min read
5 Hobbyist Computer Vision Project Ideas
This article discusses five ideas of projects you could build to help you learn about computer vision.
• 15 min read
Monitoring My Caffeine Intake with Computer Vision
In this post, learn how to build a tool that monitors how many cups of tea or coffee you drink in a day.
• 5 min read
How to Use RPA to Supercharge Computer Vision Applications
Learning outcomes 💫
By the end of this blog post, you should be able to...
* Understand what RPA is and how it is useful
* Know how to integrate a Power Automate flow via webhook
* Use a Power Automate flow to send an email report
What is Robotic Process Automation (RPA)?
Robotic
• 5 min read
Using Computer Vision to Save Sea Lions
What is causing the sea lion population to decrease? Is it illegal hunting? Is it shark and killer whale predation? Or maybe it’s overfishing, causing the sea lions to starve? Researchers want to determine the root cause.
This article describes the use of computer vision to help the conservation
• 4 min read
Use Docker to Deploy Computer Vision Models
💡Ready to deploy a vision model? Roboflow Inference, the server that powers millions of inferences on the Roboflow platform, is now available as an open source project.
See the Quickstart to get started.
When we talk about Deep Learning (DL), we often focus on new SOTA models and how they
• 5 min read
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 and
projects, upload images and annotations, and perform inference directly from
your command line.
Install the Roboflow CLI
To get
• 5 min read
Top 6 Gaming Datasets for Computer Vision Projects
Today's article will show you the top 6 gaming datasets from Roboflow Universe
[https://universe.roboflow.com/browse/gaming] to help provide inspiration for
using video games or real world games with computer vision applications.
Using computer vision with gaming can lead to entirely new experiences:
* Gaming automation:
• 5 min read
Top 7 Sports Datasets for Computer Vision Projects
Computer vision and image processing are used widely in sports to significantly
influence athletes and team performance. Implementing computer vision techniques
is a turning point in the transformation and development of the sports industry.
Sports companies use data collected during games to train real-time machine
learning and artificial intelligence models
• 8 min read
Identifying Objects in Multimedia Databases with Computer Vision
In this post, we discuss research from Prof. Luigi Laura and Mirko Cangiano showing how to identify objects in multimedia databases.
• 10 min read
Synthetic Data Generation with Stable Diffusion: A Guide
In this tutorial, we walk through how to generate images with Stable Diffusion for use in a computer vision model.
• 7 min read
Detecting and Reading QR Codes Using Computer Vision
In this article, we're going to walk through how to detect and read QR codes using Roboflow and Python.
• 4 min read
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.
• 7 min read
Overfitting in Machine Learning and Computer Vision
Overfitting is when a model fits exactly against its training data. The quality of a model worsens when the machine learning model you trained overfits to training data rather than understanding new and unseen data.
There are several reasons why overfitting can occur and responding to these causes by applying
• 5 min read
Top 6 Agriculture Datasets for Computer Vision
Explore six agriculture datasets you can use in computer vision projects.
• 3 min read
Using AI to Count Calories from Photos with SnapCalorie
SnapCalorie [https://www.snapcalorie.com/home] allows their users to make
informed, healthy choices when it comes to their diet. The SnapCalorie mobile
application enables users to take a picture of any meal and their algorithm will
show the calories, fat, carbs, and protein.
The founding team consists of alumni
• 7 min read
School Bus Detection Using YOLOv5 (Tutorial – Part 2)
Learn how to detect school buses using YOLOv5.
• 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
• 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
• 8 min read
What is an Autoencoder?
In this blog post, we are going to introduce autoencoders
[https://en.wikipedia.org/wiki/Autoencoder], 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
[https://blog.roboflow.com/supervised-learning-vs-unsupervised-learning/]
manner.
In other
Stay Connected