Latest Posts

What is a Transformer?

In this guide, we explore what Transformers are, why Transformers are so important in computer vision, and how they work.

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.

Track and Count Objects Using YOLOv8

Counting moving objects is one of the most popular use cases in computer vision. It is used, among other things, in traffic analysis and as part of the automation of manufacturing processes. That is why understanding how to do it well is crucial for any CV engineer.

How to Deploy YOLOv5 Models with Roboflow

In this article, learn how to deploy a computer vision model using custom YOLOv5 weights to Roboflow.

How to Save Computer Vision Predictions to a Google Sheet

In this guide, we walk through how to save predictions from a computer vision model to a Google Sheet.

How to Deploy a YOLOv8 Model Using Roboflow and

In this guide, we walk through how to train and deploy a YOLOv8 model using Roboflow, Google Colab, and

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

How to Count Objects in an Image Using Python

In this article, we show how to count occurrences of objects in an image using Python.

Narrate the Contents of a Room with Computer Vision

In this guide, learn how to use text-to-speech with computer vision models to narrate the objects in a room.

What is a Neural Network? A Deep Dive.

In this article, we discuss what a neural network is and walk through the most common network architectures.

How to Deploy a YOLOv8 Model to a Raspberry Pi

In this article, you'll learn how to deploy a YOLOv8 model onto a Raspberry Pi.

How to Blur a Bounding Box in Python

Consider a scenario where you are building a model to detect cars on a street. If a car is parked on a street designated with no parking, you want to

How to Draw a Bounding Box for Computer Vision with Python

In this post, we discuss how to use the cv2 library to draw and fill a bounding box in Python.

How to Draw a Bounding Box Prediction Label with Python

In this article, we show how to use the cv2 library to draw bounding box prediction labels in Python.

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.

Collective Communication in Distributed Systems with PyTorch

The full code for this article is on GitHub Today, we will explore the use of PyTorch's distributed collective communication feature. When working with multiple GPUs, it is necessary to

What is an Activation Function? A Complete Guide.

In this article, we discuss what an activation function is, why they are used, and what types of activation functions are commonly used.

What is YOLOv8? The Ultimate Guide.

The field of computer vision advances with the newest release of YOLOv8, setting a new state of the art for object detection and instance segmentation.

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.

Launch: Deploy YOLOv8 with Roboflow

In this tutorial, we show how to upload your own YOLOv8 model weights to deploy on the Roboflow platform.

How to Train YOLOv8 Object Detection on a Custom Dataset

In this article, we walk through how to train a YOLOv8 object detection model using a custom dataset.

Roboflow Collaborates with Intel to Deliver Next Generation Computer Vision Pipeline for Enterprises

Roboflow joined the Intel Disruptor Initiative to push the limits of innovation in real-world computer vision applications. Roboflow and Intel are working together to democratize access to computer vision by

What is Zero Shot Learning in Computer Vision?

In this article, we discuss what zero-shot learning is, how it works, and when zero-shot learning is and is not useful.

Launch: Version, Export, and Train Models in the Roboflow Python Package

In this article, we discuss the new version, export, and train model features in the Roboflow pip package.