Roboflow, Ultralytics Partner For Computer Vision Model Development
October 5, 2021
and Ultralytics have partnered to launch a streamlined way to prepare,
label, and train computer vision models on custom datasets with an
emphasis on active learning.
YOLOv5 is a computer vision model in the "You Only Look Once" family of
models that achieves high accuracy and speed. The open source model is
among the most popular AI models available, attracting over 16,000
GitHub stars from developers. Ultralytics, the model's author,
emphasizes developer ease of use.
Roboflow's developer tools enable teams of varying machine learning
skill to create accurate computer vision models quickly without
reinventing the wheel on infrastructure. That includes providing tools
that optimize the machine learning operations workflow like dataset
management, annotation, model training, deployment, and active learning.
To date, over 50,000 developers have built computer vision solutions
The partnership between Roboflow and Ultraltytics makes training custom
YOLOv5 models easier and faster. Users leverage Roboflow to prepare and
label custom datasets from images or video, programmatically load them
into Ultralytics's training pipeline, and leverage the Roboflow pip
package for automated active learning. This rapidly accelerates the
model development lifecycle and enables faster identification of model
failure points, which results in better models with even less data.
Products are already being built using Roboflow and Ultralytics. Latest
Sightings, a South African company that helps visitors connect with
wildlife on safari, leverages Roboflow and YOLOv5 to automatically
identify various animal species found in Kruger National Park. Tourists
visiting Kruger National Park have a superior experience when they're
able to better understand what animals they saw on their trip and where
to go in the National Park to see wildlife.
Ultralytics our mission is to make AI easy. We launched our leading
Vision AI, YOLOv5, last year, and it has now become one of the world's
most popular AIs due to its simplicity and accuracy in real-world use
cases," explained Glenn Jocher, Ultralytics CEO. "Our new Roboflow
integration provides for an even more seamless YOLOv5 training and
deployment experience. I'm excited for the possibilities that
Ultralytics and Roboflow are opening up through our shared vision of
easy AI, and can't wait to see what our users create using our new
From the day of it's June 2020 release, Roboflow has been creating
educational content on computer vision models including how to train
custom YOLOv5 detectors. "The number of computer vision models that
improve performance and advance state of the art is growing. What is
especially notable about the Ultralytics team is their emphasis on
continuously incorporating improvements into models like YOLOv5,"
explained Joseph Nelson, Roboflow CEO. "This shared focus on developer
experience is a key component in our mission of democratizing computer
vision. Having a tighter integration with leading models like YOLOv5
enables developers to transform every industry, like producing products
with fewer errors, interpreting imagery in healthcare, and adding new
interactive elements to physical board games. We're thrilled to see what
developers build now that their software has the sense of sight."