• 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
• 5 min read
What is Object Tracking in Computer Vision?
Learn about object tracking and how it is used in computer vision.
• 5 min read
Top 6 Manufacturing Datasets for Computer Vision
Explore six manufacturing datasets you can use for computer vision projects.
• 6 min read
Accelerate PyTorch Models via OpenVINO™ Integration with Torch-ORT
According to Gartner
[https://www.gartner.com/en/newsroom/press-releases/2018-02-13-gartner-says-nearly-half-of-cios-are-planning-to-deploy-artificial-intelligence]
, 85% of machine learning projects fail. Worse yet, Gartner predicts that this
trend will continue through 2022. So, when you do get a model into production,
it's important to have great accuracy and performance when it comes
• 8 min read
How to Use Computer Vision to Control OBS Studio
Learn how to use computer vision to control OBS Studio.
• 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
[https://blog.roboflow.com/computer-vision-datasets-and-apis/]. Our goal is to
democratize access to computer vision and when it comes to building vision
applications, gathering data for training vision models
• 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
[https://blog.roboflow.com/roboflow-aws-marketplace/] and committed to serving
enterprise customers
• 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.
• 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
• 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.
• 3 min read
Launch: Smart Polygon Labeling
Roboflow Annotate [https://roboflow.com/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 [https://blog.roboflow.com/polygon-annotation-labeling/] are
critical to prepare datasets for training instance segmentation
[https://blog.roboflow.
• 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.
• 9 min read
Supervised Learning vs. Unsupervised Learning: Explained
Learn what supervised and unsupervised learning are and how they compare.
• 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.
• 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.
• 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
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