Oriented Bounding Boxes
Oriented bounding boxes are bounding boxes rotated to better fit the objects
represented on an angle. Take a pill detection dataset for example. Using
Regardless of whether your project is a new product line, a new industrial production system, a research project, or a personal one to help you learn what computer vision is all about, you'll want to add "pip install roboflow" to your code - and here's why.
Happy Cinco de Mayo! In honor of the holiday, we created and trained a
[https://universe.roboflow.com/holidays/cinco-de-mayo-beqrv/1] dataset to detect
some favorite edibles used
The newest project featured on Roboflow Universe is a U.S. License Plate dataset
and model with images collected from Google images and around
Installing OpenCV on the M1 safely is difficult because the M1 operates on an arm64 architecture and most of your python libraries are compiled for amd64. Open this guide to avoid your otherwise inevitable demise.
Follow along as I use a playing cards object detection model
Roboflow Universe [https://universe.roboflow.com/] to build a computer-vision
The YOLO family recently got a new champion - YOLOR: You Only Learn One Representation. In this post, we will walk through how you can train YOLOR to recognize object detection data for your custom use case.
Roboflow is a tool for building robust machine learning operations pipelines for
computer vision: from collecting and organizing images, annotating, training,
deploying, and creating active learning [https://blog.roboflow.com/
HuggingFace has recently published a Vision Transfomer
[https://github.com/google-research/vision_transformer] model. In this post, we
will walk through how you can train a Vision Transformer to recognize
In this blog, we discuss how to train and deploy a custom license plate detection model to the NVIDIA Jetson. While we focus on the detection of license plates in particular, this guide also provides an end-to-end guide on deploying custom computer vision models to your NVIDIA Jetson on the edge.