Benefits to Existing ModelsPolygons have traditionally been used for training image segmentation models, but polygons can also improve the training of object detection models (which predict bounding boxes). Object detection
TensorFlow Lite, often referred to as TFLite, is an open source library developed by Google for deploying machine learning models to edge devices. Examples of edge deployments would be mobile
Polygons have traditionally been used for training image segmentation models, but they can also improve the training of object detection models. Object detection models are typically much faster and more widely supported, so they're still the best choice for solving many problems.
Hot on the heels of MT-YOLOv6, a new YOLO dropped this week (and this one is a doozy). YOLOv7 was created by WongKinYiu and AlexeyAB, the creators of YOLOv4 Darknet
Roboflow Annotate has been used to label over 66 million images and as teams collaborate to manage large datasets, it’s important to find the right data for labeling and
The YOLO (You Only Look Once) family of models continues to grow and right after YOLOv6 was released, YOLOv7 was delivered quickly after. The most recent introduction is MT-YOLOv6, or
Constrained bandwith? Left without the option to extend production data beyond your local network or corporate firewall? In need of real-time inference speeds on the edge? The Roboflow Mobile iOS SDK is a great option if you are developing an iOS application.
As a child, I grew up playing Minecraft, a 3D block game where the only limit is your creativity. Players navigate their 3D block world, collect resources, 'craft' tools and
TensorFlow is Google's open source machine learning framework. They released it for the purposes of making it simpler and easier to implement machine learning models whether for natural language processing,
90,000 Datasets and 7,000 Pre-trained Models AvailableRoboflow Universe launched in August 2021 with 50 open source datasets and opened our computer vision infrastructure products for free with a
In this post, we take the opportunity to reflect on the computer vision research landscape at CVPR 2022 and highlight our favorite research papers and themes.
NVIDIA CUDA Deep Neural Network (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. cuDNN is built on top of the CUDA framework which is how you use
Roboflow Annotate has been used to label over 66 million images and teams have been able to label more images with our recent release of collaborative workflows for managing labeling
In this post, we showcase training and deploying YOLOS end to end, from labeling your data, to training your model, to deploying your model on AWS for inference.
Microsoft Azure customers worldwide can now gain access to Roboflow to take advantage of the end-to-end computer vision platform to give their software the sense of sight. We’re pleased
The marshmallows found in a box of Lucky Charms cereal, marbits as they were originally named by their creators Edward S. Olney and Howard S. Thurmon, are undoubtedly the best
Ampera Racing is a team formed by students from UFSC (Federal University of Santa Catarina) with the objective of developing an electric vehicle every year and promoting the mobility of
What Is Instance Segmentation?Instance segmentation, also known as image segmentation, is the computer vision task of recognizing objects in images along with their associated shape. In other words, it
One of the best parts about joining Roboflow is doing a computer vision project in your first 2 weeks. As someone who loves to workout, I wanted to focus my
Creating a magnetic environment for exceptional talent is one of Roboflow’s top priorities. We want our remote-first culture to be the best option for our team, not a necessity
Oriented Bounding BoxesOriented 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 we are able
