This is a guest post written by Steven Pereira, Crystal Hu, Joanna Liu, Yuting Shen, and Frank Zhou. It has been lightly edited by the Roboflow team. The problem.In
This is a guest post written by Frederik Brammer, a student in Germany. Due to the Coronavirus pandemic, working from home has become more important than ever. Because of homeschooling,
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
This is a guest post by data scientist Jaco Lau; this has been lightly edited by the Roboflow team. Having worked in construction, I constantly found myself reminding subcontractors to
This is a guest post written by Ethan Arsht and Raluca Cîrju. Google Earth Engine is a powerful tool for analyzing and acquiring geographic data. Machine learning experts use Google
This is a guest post by Mehek Gosalia, a high school student from Sammamish, Washington. She plans to study computer science. Over the past 4 years, I've worked to develop
Last night during Super Bowl LV, Mountain Dew ran an ad featuring John Cena riding through a Mountain Dew-themed amusement park. Bottles are scattered all over the scene: neon signs
This blog post is a guest post by James Nitsch, a mobile developer (Android) with WillowTree Apps living in Charlottesville, VA. He's passionate about do-it-yourself hardware projects, 3D printing, and
Can we use object detection to automate identifying moving objects on a screen? Abhinav Mandava leverages Roboflow to create an aimbot (which automates aiming and firing for the player) for Duck Hunt.
This post is a guest post written by Brian Egge. Brian works in finance, though this is a personal project. Many households are getting more packages delivered than ever before.
The below post is a guest post written by data scientist Joseph Rosenblum. He is using computer vision to make cities more efficient and decrease the bias in traffic-related policing.
If you're searching for a dataset to use or are looking to improve your data science modeling skills, Kaggle is a great resource for free data and for competitions. For
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.
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
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
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
During the summer of 2019, I received a Facebook message from Roboflow co-founder Brad Dwyer asking me if I wanted to design a new mobile app he was working on.
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
