Case Studies

19 Oct 2020 • 9 min read

The below post is a lightly edited guest post by David Lee, a data scientist using computer vision to boost tech accessibility for communities that need it. David has open sourced all materials related to this project on his GitHub. The post is also available on David's blog.

4 Oct 2020 • 3 min read

Computer vision is improving life sciences. From the early identification of cancer to improving plant health, machine vision is enabling us to create more accurate diagnoses, cures, and research methods. Mateo Sokac is advancing progress in cancer research with object detection. Mateo is a Danish-based researcher at Aarhus University concurrently

22 Sep 2020 • 3 min read

Amitabha Banerjee used YOLOv5 and Roboflow to teach his Anki Vector robot to detect other robots. This is not only a fun project to teach machine learning but it could have real world implications as well. In the future, we'll want our robots to be able to collaborate

29 Aug 2020 • 1 min read

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

23 Aug 2020 • 7 min read

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

16 Aug 2020 • 3 min read

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

21 Jul 2020 • 6 min read

The below post is a lightly edited guest post from Result! Data, a Netherlands-based consultancy providing leading digital services. The Roboflow team thanks Gerard Mol (Managing Partner) and Brand Hop (Chief Data Science) for their contributions. View their original post on detecting road signs with computer vision. Introduction Result! Data

1 Jul 2020 • 3 min read

The Maasai are an indigenous ethnic group in modern Kenya and northern Tanzania, tracing routes to the Great Rift Valley in East Africa as early as the 15th century. Roughly two million Maasai people retain rich cultural traditions, including leading a semi-nomadic life and subsisting predominantly on their cattle, which

28 Jun 2020 • 6 min read

You've likely been playing Uno wrong all of your life. It's a simple game, right? Rid your hand of all your cards first, and you're the victor. In fact, Uno is a multi-stage game where players accumulate points across multiple hands. The first player

25 Jun 2020 • 6 min read

How Making an iOS Application Inspired Roboflow Before the Roboflow team was making tools for improving how developers apply computer vision to their problems, we were making our own computer vision applications. One of those applications, Magic Sudoku, even won Product Hunt's Augmented Reality App of the Year.

3 Jun 2020 • 3 min read

Drones are enabling better disaster response, greener agriculture, safer construction, and so much more. Increasingly, drones are even achieving the ability to perform these tasks completely or semi-autonomously – enabling greater precision and efficiency. Thus, when Victor Antony, a data scientist from the University of Rochester, was confronted with creating the

12 Feb 2020 • 4 min read

By using Roboflow, data scientist Alaa Senjab reduced his time to train a custom object detection model detecting guns in security camera footage while increasing machine learning model accuracy. Highlights: * Validating image annotation quality, and automated correction of error-inducing improper labels * Preprocessing and augmentation techniques improving model generalizability * Automated generation

11 Feb 2020 • 2 min read

And that's a problem that is extremely dangerous. Machine learning, the process of teaching computer algorithms to perform new tasks by example, is poised to transform industries from agriculture [https://www.forbes.com/sites/bernardmarr/2019/03/15/the-amazing-ways-john-deere-uses-ai-and-machine-vision-to-help-feed-10-billion-people/] to insurance [https://news.microsoft.com/apac/features/ai-takes-the-pain-out-of-car-insurance-in-india/