Written by

James Gallagher

James Gallagher

James is a Technical Marketer at Roboflow, working toward democratizing access to computer vision.

From Idea to Reality: Building a Computer Vision Scavenger Hunt for SXSW

Learn about how we built a scavenger hunt app in two weeks and got 200 strangers to play in celebration of SXSW 2023.

Launch: Community Features for Roboflow Universe

Learn how to use the new user profile pages and download, star, and view statistics features on Roboflow Universe.

Resources to Build Computer Vision Applications Faster

Learn how Roboflow Utilities, Templates, Research, and Showcase can help you build computer vision applications faster.

How I Used Synthetic Data with Unity Perception to Minimize Annotation Time

Learn how a Roboflow user used synthetic data to minimize annotation time for a breadboard project.

Announcing the Roboflow SXSW Scavenger Hunt

Play the computer vision-powered Roboflow SXSW Scavenger Hunt for a chance to earn a $1,000 prize.

Represent Chess Boards Digitally with Computer Vision

In this guide, learn how Shai Nisan used computer vision to translate a photo of a chess board into FEN notation.

Generate Image Augmentations with Roboflow

In this guide, you'll learn how to generate augmented images for your dataset on the Roboflow platform.

How to Use the Roboflow Fish Detection API

In this guide, we show how to use the Roboflow fish detection API to identify fish in image assets.

How to Send Roboflow Model Predictions to Zapier Webhooks

In this guide, we show how to send prediction data from a Roboflow model to Zapier via webhooks.

How to Use the Roboflow Bird Detection API

Learn how to use the Roboflow bird detection API to identify different species of birds.

How to Use the Roboflow People Detection API

Learn how to use the Roboflow people detection API to identify the locations of people in an image.

How to Use the Roboflow License Plate Detection API

Learn how to use the Roboflow license plate detection API in production using a range of deployment options.

How to Crop Computer Vision Model Predictions

This article shows how to use cv2 to crop regions of interest in a computer vision project.

Launch: Calculate Polygon Coordinates with PolygonZone

This guide shows how to use PolygonZone to draw polygons on an image and retrieve their coordinates for computer vision applications.

How to Use Roboflow Models in CVAT

In this article, we show how to use public Roboflow models to speed up annotating in CVAT.

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 Repl.it

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

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.

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.

Launch: Deploy YOLOv8 with Roboflow

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