Getting Started

30 May 2021 • 5 min read

What Does "End to End" Really Mean?

Developing, deploying and optimizing computer vision models used to be a cumbersome, painful process. With Roboflow, we sought to democratize this technology, which (first and foremost) meant knocking down the barriers that we perceived were preventing everyday people from exploring and implementing computer vision in their work and daily lives.

22 Mar 2021 • 1 min read

Video Inference with Roboflow

One common question we get is "Can I use my Roboflow model on a video?" The answer is yes! Videos are really just a sequence of images, so your model can give predictions just like it does on images. The process is simple: 1) split your video into

21 Mar 2021 • 3 min read

Danger Monitoring for Cyclists using Raspberry Pi and Object Detection

This is a guest post authored by Herberto Warner and lightly edited by the Roboflow team. Herberto's Github hosts all of the images used in his project. Increasing numbers of dangers and accidents for cyclists Cyclists face dangers like cars on the street, other cyclists, and poorly developed

1 Mar 2021 • 3 min read

5 Emerging Trends in Computer Vision Applications from OpenCV's AI Competition

As part of Roboflow's new partnership with OpenCV, I had the opportunity to be involved with the first round of the 2021 OpenCV AI Competition. If you haven't heard of the competition, it's the world's biggest spatial AI competition, in which over

25 Jan 2021 • 3 min read

Computer Vision Use Cases in Healthcare and Medicine

Computer vision technology continues to expand its use cases in healthcare and medicine. In this post, we will touch on some exciting example use cases for vision in healthcare and medicine and provide some resources on getting started applying vision to these problems.

25 Dec 2020 • 3 min read

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 look like. In this post, we'll walkthrough an example workflow of annotating data with your team using Roboflow

15 Dec 2020 • 5 min read

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.

8 Dec 2020 • 2 min read

Introducing Roboflow Annotate

Since we launched Roboflow in early 2020, our vision has always been to improve and streamline the workflow of computer vision projects so that developers can focus on the parts of their project that are unique, not on reinventing the wheel. But there's been one part of the

30 Nov 2020 • 5 min read

How to Run Jupyter Notebooks on an Apple M1 Mac

Learn how to run Jupyter Notebooks on Apple M1 Macbooks.

5 Oct 2020 • 23 min read

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.

2 Oct 2020 • 4 min read

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.

25 Sep 2020 • 3 min read

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 VGG Image Annotator so you can quickly, and efficiently label your computer vision dataset for object detection and move on

22 Aug 2020 • 8 min read

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

Learn how to train a custom mobile object detection model with YOLOv4 tiny and TensorFlow Lite.

12 Aug 2020 • 14 min read

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.

28 Jul 2020 • 14 min read

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)

27 Jul 2020 • 6 min read

VoTT for Image Annotation and Labeling

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

5 Jul 2020 • 1 min read

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, LabelBox, SuperAnnotate, Amazon SageMaker Ground Truth, and Mechanical Turk. We support importing your annotations directly from many of their APIs and Roboflow&

29 Jun 2020 • 15 min read

What is YOLOv5? A Guide for Beginners.

In this article, we discuss what is new in YOLOv5, how the model compares to YOLO v4, and the architecture of the new v5 model.