Latest Posts

8 Nov 2022 • 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

4 Nov 2022 • 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.

4 Nov 2022 • 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.

3 Nov 2022 • 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.

1 Nov 2022 • 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.

31 Oct 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

28 Oct 2022 • 5 min read

Top 6 Agriculture Datasets for Computer Vision

Explore six agriculture datasets you can use in computer vision projects.

28 Oct 2022 • 3 min read

Using AI to Count Calories from Photos with SnapCalorie

SnapCalorie 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 of Google AI, MathWorks, and

27 Oct 2022 • 7 min read

School Bus Detection Using YOLOv5 (Tutorial – Part 2)

Learn how to detect school buses using YOLOv5.

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.