Written by

Mohamed Traore

Mohamed Traore

Developer Experience at Roboflow. https://help.roboflow.com

Deploy Models from Roboflow with the Luxonis DepthAI SDK

The new Luxonis DepthAI SDK Roboflow Integration gives users the option to deploy Roboflow models to OAK devices with more functionality and out-of-the-box options for customization of inferences.

Roboflow Changelog: January 2023

Each month, we share a recap of product and company updates. In this post, we detail Roboflow's updates from January 2023.

Deploy Computer Vision Models to Raspberry Pi with Docker

To follow along with this tutorial, you will need a Raspberry Pi 4 or 400. You will need to run the 64-bit Ubuntu operating system. Roboflow supports deploying custom computer

Recap: Roboflow's 12 Days of #Shipmas

Team Roboflow decided to end 2022 strong and kick off 2023 with a bang by shipping 12 new features in 12 days. Updates were made to model-assisted labeling, model training, annotation tools, the REST API, Python SDK, and more.

Launch: YOLOv8 Models on Roboflow Universe

Pre-trained YOLOv8 models are available for testing and deployment on Roboflow Universe. Test and Deploy YOLOv8 Object Detection models in the app through the Models page.

Roboflow Changelog: December 2022

Each month, we share a recap of product and company updates. In this post, we detail Roboflow's updates from December 2022.

Roboflow Changelog: November 2022

Each month, we share a recap of product and company updates. In this post, we detail Roboflow's updates from November 2022.

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.

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.

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.

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.

How to Use Polygon Annotation and Labeling with Roboflow

Polygons have traditionally been used for training image segmentation models, but they can also improve the training of object detection models. Object detection models are typically much faster and more widely supported, so they're still the best choice for solving many problems.

Launch: Roboflow Native iOS SDK

Constrained bandwith? Left without the option to extend production data beyond your local network or corporate firewall? In need of real-time inference speeds on the edge? The Roboflow Mobile iOS SDK is a great option if you are developing an iOS application.

Launch: Roboflow OAK pip package

roboflowoak pip package lets you natively interface with your Roboflow workspace through Python scripts and deploy to an OAK device.

Roboflow’s Python Pip Package For Computer Vision

Regardless of whether your project is a new product line, a new industrial production system, a research project, or a personal one to help you learn what computer vision is all about, you'll want to add "pip install roboflow" to your code - and here's why.

Cinco de Mayo, Beer and Taco Dataset with Multi-Label Classification

Happy Cinco de Mayo! In honor of the holiday, we created and trained a multi-label classification [https://universe.roboflow.com/holidays/cinco-de-mayo-beqrv/1] dataset to detect some favorite edibles used

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.

How I Used Computer Vision to Make Sense of My Fridge

As part of a groupwork for a postgraduate applied AI at Erasmus Brussels we made an object detection model to identify ingredients in a fridge.

Using Computer Vision to Accelerate Microbiology Research and Combat Antibiotic Resistance

Michael Shamash is a Master’s student in the Maurice Lab at Canada's McGill University. Michael used Roboflow to streamline the production of a model and iOS app for use in microbiology.

Roboflow for Students and Universities

We've seen tremendous interest in Roboflow from the research community. Faculty and students from institutions ranging from California to Malta to Taiwan have been using Roboflow to accelerate their computer vision work.