During the summer of 2019, I received a Facebook message from Roboflow co-founder Brad Dwyer asking me if I’d be interested in designing a new mobile app he was
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
Abhishek Ghosh is training a computer vision model to detect the first signs of smoke from a forest fire with the ultimate hope of dispatching a drone to douse it
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.
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
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
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
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
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
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)
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
This is a lightly edited guest post by Roboflow user Shayan Ali Bhatti, who used Roboflow to train an object detection model to identify items in grocery stores. Reposted with
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
Uno card identification and scoring in real-time. (Credit: Adam Crawshaw)You've likely been playing Uno wrong all of your life. It's a simple game, right? Rid your hand of all
How Making an iOS Application Inspired RoboflowBefore the Roboflow team was making tools for improving how developers apply computer vision to their problems, we were making our own computer vision
An animated drone flying through a correctly identified gate. (Image provided via Victor Antony, animated by Roboflow)Drones are enabling better disaster response, greener agriculture, safer construction, and so much
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. Alaa's
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 to
