Performing real-time video inference is crucial for many applications like autonomous vehicles, security systems, logistics, and more. However, setting up a robust video inference pipeline can be time consuming. You
Starting a machine learning model from zero is computationally expensive and time-consuming. Pre-trained models solve this by offering a jump-start: they come with learned features from extensive training on large
Team Roboflow decided to end 2022 strong and kick off 2023 with a bang by shipping 12 new features in 12 days. Updates were made to model-assisted labeling, model training, annotation tools, the REST API, Python SDK, and more.
Computer vision and image processing are used widely in sports to significantly
influence athletes and team performance. Implementing computer vision techniques
is a turning point in the transformation and development
The ability of computer vision applications to address various business
challenges makes it one of the most exciting technologies available today.
Computer vision use cases in agriculture
Roboflow now supports semantic segmentation projects end-to-end allowing you to use Roboflow Annotate to label data, Roboflow Train to build models, and Roboflow Deploy for inference.
This release, alongside support
90,000 Datasets and 7,000 Pre-trained Models Available
Roboflow Universe [https://universe.roboflow.com/] launched in August 2021 with
50 open source datasets and opened our computer vision infrastructure
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
Scott Bronkema is a former college football player turned software developer. As
Scott started tinkering with computer vision, he discovered he can build every
football coach's dream application: the automated