Latest Posts

28 Dec 2020 • 2 min read

Get a Hosted API for your Object Detection Model

Roboflow provides tools for labeling [https://roboflow.com/annotate], organizing [https://docs.roboflow.com/], and training [https://docs.roboflow.com/train] a computer vision model [https://models.roboflow.com]. Once you finish running one of the Jupyter notebooks from our Computer Vision tutorials [https://blog.roboflow.com/tag/tutorials/] you

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

21 Dec 2020 • 4 min read

Tackling the Internet of Things with Roboflow: Object Detection Apps on Android

Joo chan Kim, PhD student, is developing an object detection application for Android devices that can identify specific IoT sensors by using a custom detection model.

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.

15 Dec 2020 • 4 min read

Apple's M1 is up to 3.6x as fast at training machine learning models

We compared the Apple M1 chip to the Intel Core i5 chip on an object detection task using Create ML.

9 Dec 2020 • 2 min read

Unveiling Our New Limited Edition T-Shirt

A huge benefit of working for Roboflow is interacting with all the builders and creators using our platform. Every day, Roboflow users are experimenting with computer vision to solve fascinating problems and we're always impressed with their creativity. We especially love it when we can feature their work

8 Dec 2020 • 2 min read

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 on the parts of their project that are unique, not on reinventing the wheel. But there's been one

6 Dec 2020 • 1 min read

Share Your Datasets with the Computer Vision Community

Computer vision problems start with finding high quality image datasets. Fortunately, access to common image data is increasingly easier. Datasets like Microsoft's COCO dataset [https://blog.roboflow.com/coco-dataset/] and the Pascal VOC dataset [https://public.roboflow.com/object-detection/pascal-voc-2012] provide a standard for common objects and measuring

4 Dec 2020 • 1 min read

Roboflow Changelog: December 2020

Welcome to the first of our monthly changelogs, where we will be cataloging our recent feature additions and improvements. Roboflow Organize * Added ability to rebalance train/test split * Clarified pro plan features in-app * Sped up thumbnail generation * Added image upload by URL to the upload API * Paginated the image listing

3 Dec 2020 • 8 min read

Scaled-YOLOv4 is Now the Best Model for Object Detection

(based on Microsoft COCO benchmarks) The object detection space remains white hot with the recent publication of Scaled-YOLOv4 [https://arxiv.org/abs/2011.08036], establishing a new state of the art in object detection [https://blog.roboflow.com/object-detection/]. Looking to train a Scaled-YOLOv4 model? Skip this post and jump

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.

30 Nov 2020 • 3 min read

Generating Renaissance Art with Computer Vision

The below post is a guest post written by Samay Lakhani and Sujay Sundar, two budding data scientists. Samay currently interns with a Silicon Valley tech company; Sujay currently does research under the mentorship of a CUNY Staten Island neuroscience professor. Both are sophomores at Jericho High School, showing that

20 Nov 2020 • 2 min read

Revamping Train, Validation, Test, Split Management

Splitting data into train, validation, and test splits is essential to building good computer vision models. Today, we are announcing in-app changes to Roboflow that make it even easier to manage your train test splits as you are working through the computer vision workflow.

16 Nov 2020 • 6 min read

Google Researchers Say Underspecification is Ruining Your Model Performance. Here's Five Ways to Fix That.

We read that Google underspecification paper so you don't have to.

15 Nov 2020 • 4 min read

Bringing Street Murals to Life with Computer Vision

In Bedford–Stuyvesant, Brooklyn (BedStuy), Yuri Fukuda regularly walks by a mural that showcases prominent female leaders. Since October 2005, a stunning 3,300 square foot mural, When Women Pursue Justice by ArtMakers-NYC, has had a central place in the BedStuy art scene. The mural celebrates 90 women who have

13 Nov 2020 • 5 min read

YOLOv4 - Ten Tactics to Build a Better Model

The YOLO v4 repository is currently one of the best places to train a custom object detector, and the capabilities of the Darknet repository are vast. In this post, we discuss and implement ten advanced tactics in YOLO v4 so you can build the best object detection model from your custom dataset.

8 Nov 2020 • 3 min read

Hands on with the Roboflow Infer Web Application Interface Builder

After you train a model with Roboflow Train [https://docs.roboflow.com/train], you're provided with three immediate ways to use your model: a curl command, the direct URL, and an Example Web App. In this post, we'll demonstrate hands on how to use the web

6 Nov 2020 • 4 min read

Occlusion Techniques in Computer Vision

Computer vision models learn to model a task from a training set, however, like all deep learning models, they are prone to overfit the data they have been shown, making poor inferences in the wild. Computer vision models, like all machine learning models [https://blog.roboflow.com/computer-vision-model-tradeoff/], tend overfit

3 Nov 2020 • 3 min read

Evaluating Object Detection Models with mAP by Class

When evaluating an object detection model in computer vision, mean average precision [https://blog.roboflow.com/mean-average-precision/] is the most commonly cited metric for assessing performance. Remember, mean average precision is a measure of our model's ability to correctly predict bounding boxes at some confidence level – commonly mAP@

1 Nov 2020 • 3 min read

How to Use the Detectron2 Model Zoo (for Object Detection)

Detectron2 is Facebook's open source library for implementing state-of-the-art computer vision techniques in PyTorch. Facebook introduced Detectron2 [https://ai.facebook.com/blog/-detectron2-a-pytorch-based-modular-object-detection-library-/] in October 2019 as a complete rewrite of Detectron (which was implemented in Caffe). Facebook uses Detectron2 in a wide array of their products, including

30 Oct 2020 • 5 min read

How This Fulbright Scholar is Using Computer Vision to Protect Endangered Species

The below post is by Kasim Rafiq, a conservationist, Fulbright Scholar, and National Geographic Explorer studying at UC Santa Cruz. Kasim holds a PhD in Wildlife Ecology from Liverpool John Moores University. Introduction Nature underpins everything. From our global economy to our wellbeing and survival. Everything relies on nature. Unfortunately,

28 Oct 2020 • 2 min read

Train Test Split Guide and Overview

In order to ensure our models are generalizing well (rather than memorizing training data), it is best practice to create a train, test split. That is, absent rigor, our models can easily overfit to a small subset of examples we've collected. Look no further than Tesla using computer

26 Oct 2020 • 6 min read

Luxonis OAK-D - Deploy a Custom Object Detection Model with Depth

We are pretty excited about the Luxonis OpenCV AI Kit (OAK-D) device at Roboflow, and we're not alone. Our excitement has naturally led us to create another tutorial on how to train and deploy a custom object detection model leveraging Roboflow and DepthAI, to the edge, with depth, faster.

26 Oct 2020 • 6 min read

Behind the Design of an Augmented Reality Board Game App

During the summer of 2019, I received a Facebook message from Roboflow co-founder Brad Dwyer [https://twitter.com/braddwyer] asking me if I wanted to design a new mobile app he was working on. His previous app, Magic Sudoku [https://magicsudoku.com/], had recently generated some buzz online and even