Getting Started

How To Annotate Images with Your Team Using Roboflow

Dataset annotation is better with teams: you can move more quickly, keep everyone on the same page, track annotation progress, and easier provide examples of what the ultimate dataset should

How to Train Scaled-YOLOv4 to Detect Custom Objects

Object detection technology advances with the release of Scaled-YOLOv4. This blog is written to help you apply Scaled-YOLOv4 to your custom object detection task, to detect any object in the world, given the right training data.

Introducing Roboflow Annotate

Since we launched Roboflow [https://roboflow.com] in early 2020, our vision has always been to improve and streamline the workflow of computer vision projects so that developers can focus

How to Run Jupyter Notebooks on an Apple M1 Mac

You've probably heard a lot about the MacBook that contains the new Apple M1 chip. Quick summary: It's fast. Like, really fast. You, a data scientist

What is Computer Vision and Machine Vision? A Guide for Beginners

After reading this post, you should have a good understanding of computer vision without a strong technical background and you should know the steps needed to solve a computer vision problem.

Glossary of Common Computer Vision Terms

Computer Vision (and Machine Learning in general) is one of those fields that can seem hard to approach because there are so many industry-specific words (or common words used in novel ways) that it can feel a bit like you're trying to learn a new language when you're trying to get started.

What is a Label Map?

In this post, we will demystify the label map by discussing the role that it plays in the computer vision annotation process. Then we will get hands on with some real life examples using a label map.

Getting Started with VGG Image Annotator for Object Detection Tutorial

Annotating your images is easy using the free, open source VGG Image Annotator. In this post we will walk through the steps necessary to get up and running with the

How to Train a Custom Mobile Object Detection Model (with YOLOv4 Tiny and TensorFlow Lite)

In this post, we walk through how to train an end to end custom mobile object detection model. We will use the state of the art YOLOv4 tiny Darknet model

Deploy A Custom Model to the Luxonis OAK - A Quickstart Guide

This guide will take you the long distance from unlabeled images to a working computer vision model deployed and inferencing live at 15FPS on the affordable and scalable Luxonis OpenCV AI Kit (OAK) device.

Benchmarking the Major Cloud Vision AutoML Tools

Until now, there has been little independent research published on the performance of AutoML tools - (both relative to each other and against state of the art open source models)

VoTT for Image Annotation and Labeling

A guide on using VoTT to label your own computer vision dataset.

Roboflow vs Scale

A question we often get is "How is Roboflow different from Scale?" The truth is, Roboflow works great in conjunction with outsourced labeling services like Scale [https://scale.