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Written by
Matt Brems
Matt Brems
Growth Manager @ Roboflow. Previously solved data science problems across finance, education, politics, and more. Passionate about teaching and empowering others to accomplish more.
One of the amazing things about computer vision is using existing images plus random changes to increase your effective sample size. Suppose you have one photo containing a coffee mug.
We'd like to think we've worked remotely pretty successfully: we raised a seed round, we've come in first place on the Pioneer leaderboard for a record-breaking 25-weeks in a row,
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,
When creating a platform on which people can create and share content, there’s often a question of content moderation. Content moderation can mean a whole host of different things,
Missed the event or looking for the recording? Check out the Roboflow + Paperspace Detectron2 webinar recording here and notebook here!Tomorrow, Roboflow and Paperspace are co-hosting a webinar teaching you
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
You may have heard about OpenAI's CLIP model. If you looked it up, you read that CLIP stands for "Contrastive Language-Image Pre-training." That doesn't immediately make much sense to me,
As part of Roboflow's new partnership with OpenCV, I had the opportunity to be involved with the first round of the 2021 OpenCV AI Competition. If you haven't heard of
Building an app for blood cell count detection.The app in action.Most technology is designed to make your life, or your work, easier. If your work involves building computer
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
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.
Suppose you're trying to teach an alien – like one of the crewmates from the wildly popular game Among Us – to tell the difference between a human and a dog. "Purp
(based on Microsoft COCO benchmarks) The object detection space remains white hot with the recent publication of Scaled-YOLOv4, establishing a new state of the art in object detection. Looking to
You've probably heard a lot about the MacBook that contains the new Apple M1 chip. Quick summary: It's fast. Like, really fast. You, a data scientist or related tech professional,
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
After reading this post, you should have a good understanding of computer vision without a strong technical background and you should know the steps needed to solve a computer vision problem.
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Matt Brems
Growth Manager @ Roboflow. Previously solved data science problems across finance, education, politics, and more. Passionate about teaching and empowering others to accomplish more.
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