What Is Instance Segmentation?
Instance segmentation
[https://blog.roboflow.com/instance-segmentation-roboflow/], also known as image
segmentation, is the computer vision task of recognizing objects in images along
with their associated
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
YOLOv5-obb [https://github.
Happy Cinco de Mayo! In honor of the holiday, we created and trained a
multi-label classification
[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
[https://universe.roboflow.com/objects-in-the-wild/license-plate-recognition-lhqow]
and model with images collected from Google images and around
There are two different ways to think about algorithmic bias, and they are
complementary to one another. The first being the social and ethical side, and
second being the more
Aerial imagery are images taken from aircrafts like drones, planes, and
helicopters. With these images we can train a model to detect objects like
fires, buildings, solar panels, rooftops, maritime
