We are excited to release support for instance segmentation projects on Roboflow. Instance segmentation allows your computer vision model to know the specific outline of an object in an image, unlocking new use cases for Roboflow in your application.
Spring is finally here and there is computer vision in the air! Each month, we share a recap of product and company updates; if you missed last month's edition of
Roboflow has supported the entire process of creating object detection and single-label classification computer vision projects, from collecting and annotating images to training and deploying a model since our launch
Over the last year, thousands of custom computer vision models have been trained with Roboflow Train and millions of inferences have been made via Roboflow Deploy. Recently, we took a
When training any machine learning model, you must trade off inference speed for accuracy. Larger models with more parameters are uniformly more accurate, and smaller models with fewer parameters are uniformly faster to infer.
Even though it's the shortest month of the year, we accomplished a lot! Each month, we share a recap of product and company updates; if you missed last month's edition
It might be cold outside, but Roboflow is bringing the heat to kick off 2022! Each month, we share a recap of product and company updates; if you missed last
Roboflow Annotate has become an essential tool used by tens of thousands of developers to label images of everything from planes to petri dishes. Since its launch just over a
It's been a whirlwind of a month at Roboflow with lots of changes, updates, and expansion going on behind the scenes. Each month, we share a recap of product and
You can now export the bounding boxes from your object detection dataset as cropped images usable with classification models. This update will enable easily prototyping two-pass models for use-cases like
Our emphasis this month was on "code tentacles", or improving the ways that Roboflow integrates with your codebase. Below is a recap of what we launched and improved. Rewind to
We're proud to share that Roboflow has entered into a partnership agreement with Ultralytics, the creators of YOLOv5, and that Roboflow is now the official dataset management and annotation tool
We're ecstatic to announce the launch of our newest pip package, a way for you to natively interface with your Roboflow workspace through your Python scripts and Jupyter notebooks! Read
Today we're excited to announce the launch of our new REST API, a way for your code to interface with the information stored in your Roboflow workspace. Read the full
Welcome to another installment of the Roboflow Changelog where we summarize the improvements to Roboflow's product suite over the preceding month. You can find the last changelog (for August 2021)
We are exciting to announce that you can now track objects frame over frame in video and camera stream using the Roboflow Inference API and the open source zero shot object tracking repository, without having to train a separate classifier for your object track features.
Each month we share a recap of our monthly updates and releases in the Roboflow Changelog. The previous Changelog is available here. In July, the product team's major emphasis was
We've seen tremendous interest in Roboflow from the research community. Faculty and students from institutions ranging from California to Malta to Taiwan have been using Roboflow to accelerate their computer vision work.
With Roboflow, you can train a custom computer vision model in one click and get an infinitely scalable API to receive predictions and you can also deploy directly to devices
We are excited to announce full support for image classification in Roboflow, from image collection and organization, to annotation, to custom training, and deployment.
