Roboflow Blog

14 Sep 2020 • 2 min read

What is an annotation group?

If you're wondering this, you're not alone. The annotation group is the category that encompasses all of the classes in your dataset. It answers the question "What kind of things are labeled in this dataset?" Why do you need an annotation group? It'

12 Sep 2020 • 1 min read

Elisha Odemakinde Hosts Roboflow for a Fireside Chat

Recently, Roboflow machine learning engineer Jacob Solawetz sat down with Elisha Odemakinde, an ML researcher and Community Manager at Data Science Nigeria, for a Fireside chat. During the conversation, Jacob walks through his journey from his career in financial trading to artificial intelligence, a move from natural language processing to

10 Sep 2020 • 3 min read

Deploy YOLOv5 to Jetson Xavier NX at 30FPS

Learn how to deploy a YOLOv5 model to a Jetson Xavier NX edge device.

4 Sep 2020 • 6 min read

Train, Validation, Test Split for Machine Learning

At Roboflow, we often get asked, what is the train, validation, test split and why do I need it? The motivation is quite simple: you should separate you data into train, validation, and test splits to prevent your model from overfitting and to accurately evaluate your model.

3 Sep 2020 • 7 min read

Use Resnet34 for Image Classification

Can a computer tell the difference between a dandelion and a daisy? In this post we put these philosophical musings aside, and dive into the the code necessary to find the answer. We walk through the steps necessary to train a custom image classification model from the Resnet34 backbone using

2 Sep 2020 • 2 min read

Explore Images, Annotations, and Metadata Easier

Keeping track of images and their corresponding annotations [https://blog.roboflow.com/glossary/#:~:text=annotation] is a challenge. Knowing which annotations map to which class, viewing image metadata, and seeing which images correspond to a training, validation, and testing set [https://blog.roboflow.com/train-test-split/] can quickly become a sprawling

29 Aug 2020 • 1 min read

How Cocoparks Accelerated Their Development with Roboflow

Cocoparks, a Paris based startup working on improving traffic flows across French cities, launched their service months faster with Roboflow. "Before Google Maps, you could find routes to your destination using a map. There are many routes to try. But with Google Maps, it becomes seamless. This is what

28 Aug 2020 • 4 min read

Fast.ai v2 Released - What's New?

Fastai, the popular deep learning framework and MOOC releases fastai v2 with new improvements to the fastai library, a new online machine learning course, and new helper repositories. In this post, we will dive into what is new in fastai v2 and why you should check it out! What is

25 Aug 2020 • 2 min read

Roboflow Joins Y Combinator's Summer 20 Batch

Roboflow is enabling any developer to use computer vision (without being a machine learning expert). Computer vision is the first technology that fundamentally allows us to rewrite human-computer interaction. Until now, when using computers to interact with the world, humans would assess their environment, provide commands to a computer, and

24 Aug 2020 • 1 min read

Video: How to Use Amazon Rekognition Custom Labels with Roboflow

Recently, we co-hosted a webinar with Mark McQuade of Onica [https://onica.com], an AWS Premier Consulting Partner, about using Roboflow along with AWS Rekognition Custom Labels [https://blog.roboflow.com/automl-vs-rekognition-vs-custom-vision/] to train and deploy a custom object detection model [https://docs.roboflow.com/train]. In the video, we

23 Aug 2020 • 7 min read

Using Computer Vision to Count Fish Populations (and Monitor Environmental Health)

The below is a guest post from Jamie Shaffer, a data scientist based in Washington state. She is open to new opportunities, particularly leveraging deep learning to environmental issues. Living in the Pacific Northwest, the intertwined issues of salmon survival and river flow are frequently in the news, and the

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.

21 Aug 2020 • 3 min read

The crazy story of how we got our .com domain

For almost a year, Roboflow (our computer vision dataset management tool) has lived at roboflow.ai. It's served us well but we have always lusted after the dot com. No longer! We managed to acquire roboflow.com from the giant German company that owned it since 2001. The

17 Aug 2020 • 5 min read

How to Train a Custom TensorFlow Lite Object Detection Model

Learn how to train a custom TensorFlow Lite object detection model with a custom dataset.

16 Aug 2020 • 3 min read

Using Computer Vision to Find Brands in YouTube Videos

Over 500 hours of video are being uploaded to YouTube (speaking of which.. have you subscribed to our channel yet?) every minute*. Making sense of that sea of video content creates valuable opportunities. For brands, knowing when and where they're being mentioned means identifying their share-of-voice, marketing to

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.

4 Aug 2020 • 3 min read

Reducing Traffic with Computer Vision

How Transport for Cairo is Improving Commuting for Millions with Computer Vision Reducing traffic in well-planned cities where bus routes are well-mapped, subways are running on a predictable cadence, and lanes are well-marked is a significant undertaking. Now consider improving traffic without predictable routes, maps, and regular modes of transit.

3 Aug 2020 • 7 min read

PP-YOLO Surpasses YOLOv4 - State of the Art Object Detection Techniques

Baidu publishes PP-YOLO and pushes the state of the art in object detection research by building on top of YOLOv3, the PaddlePaddle deep learning framework, and cutting edge computer vision research.

3 Aug 2020 • 5 min read

Ontology Management for Computer Vision

As their projects mature and dataset sizes grow, most teams wrestle with their workflow. Slicing and dicing data is more of an art than a science and you will want to experiment with what works best for your problem over time (and, in fact, you will probably go through this

30 Jul 2020 • 8 min read

How to Train an EfficientNet Model with a Custom Dataset

Learn how to train an EfficientNet model with a custom dataset.

29 Jul 2020 • 2 min read

Advanced Augmentations in Roboflow

Roboflow Pro now supports Cutout and Mosaic. Recent research has shown [https://arxiv.org/abs/2005.04757] there is still plenty of room to grow model performance through augmenting our training data. Roboflow has written extensively [https://blog.roboflow.com/tag/augmentation/] about data augmentation and has highlighted some of

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.

23 Jul 2020 • 1 min read

Roboflow can now ingest video!

One of the most common questions we get is "How can I use computer vision object detection models with video?" The answer is simple: you treat each frame as an image. But, in practice, that has been quite cumbersome. It's meant fumbling around with command line