• 9 min read
How To Train SegFormer on a Custom Dataset
In this post, we will walk through how to train SegFormer on a custom dataset using Pytorch Lightning to classify every pixel in an image.
• 4 min read
Deploy a Computer Vision Model: A How-To Guide
Answering the question "how do I deploy a computer vision model?" can be
difficult. There are so many options. Which one should you choose? How do you
deploy to the option that is right for your use case?
With the launch of the Roboflow Deploy feature, deploying computer
• 2 min read
How to Use Tiling During Inference
Tiling is especially helpful and can improve accuracy for aerial images and small object detection. Like the human eye, computer vision models can have a difficult time detecting small objects from far away because it gives us less visual data to do accurate inference on.
The solution is to zoom
• 4 min read
Using Polygon Annotations for Object Detection in Computer Vision
Benefits to Existing Models
Polygons have traditionally been used for training image segmentation models
[https://blog.roboflow.com/instance-segmentation-training-roboflow/], but
polygons can also improve the training of object detection models
[https://blog.roboflow.com/object-detection/] (which predict bounding boxes).
Object detection models are typically much faster and more widely supported,
• 1 min read
What is TensorFlow Lite?
TensorFlow Lite [https://www.tensorflow.org/lite], often referred to as TFLite,
is an open source library developed by Google
[https://developers.googleblog.com/2017/11/announcing-tensorflow-lite.html] for
deploying machine learning models to edge devices. Examples of edge deployments
would be mobile (iOS/Android), embedded, and on-device. You can
• 2 min read
How to Use Polygon Annotation and Labeling with Roboflow
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.
• 5 min read
How to Train a YOLOv7 Model on a Custom Dataset
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 (and the official canonical maintainers of the YOLO lineage according to pjreddie, the original inventor and maintainer of the YOLO
• 3 min read
Launch: Search Datasets and Assign Jobs
Roboflow Annotate [https://docs.roboflow.com/annotate] has been used to label
over 66 million images and as teams collaborate to manage large datasets
[https://blog.roboflow.com/annotation-workflow/], it’s important to find the
right data for labeling and improving your model.
Teams using active learning [https://blog.roboflow.
• 2 min read
Roboflow Changelog: May & June 2022
Each month, we share a recap of product and company updates. Here's what's new for May and June in 2022!
• 16 min read
How to Train a YOLOv6 Model on a Custom Dataset
Learn how to train a YOLOv6 object detection model on a custom dataset.
• 3 min read
Launch: Roboflow Native iOS SDK
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.
• 5 min read
Using Gaming Datasets for Game Automation with Computer Vision
As a child, I grew up playing Minecraft [https://www.minecraft.net/en-us], a 3D
block game where the only limit is your creativity. Players navigate their 3D
block world, collect resources, 'craft' tools and resources, and build to their
heart's content.
Computer vision transcends industries,
• 1 min read
What is TensorFlow?
Learn what TensorFlow is and how it can be used for computer vision.
• 4 min read
Open source datasets and pre-trained models for computer vision
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 products
for free with a Public plan [https://roboflow.com/pricing]. Universe now has
90,000+ datasets with 66+ million
• 3 min read
CVPR 2022 - Best Papers and Highlights
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.
• 1 min read
What is cuDNN?
NVIDIA CUDA Deep Neural Network (cuDNN) is a GPU-accelerated library of
primitives for deep neural networks. cuDNN [https://developer.nvidia.com/cudnn]
is built on top of the CUDA [https://blog.roboflow.com/what-is-cuda/] framework
which is how you use NVIDIA GPUs for general purpose computing tasks. High
performance GPU
• 3 min read
Launch: Label Only Role-based Access Control
Roboflow Annotate [https://roboflow.com/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
[https://blog.roboflow.com/annotation-workflow/] for managing labeling in
real-time across distributed teams. Market researchers believe that by 2028,
• 9 min read
Train and Deploy YOLOS Transformer On a Custom Dataset
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.
• 3 min read
Roboflow Now Available in the Microsoft Azure Marketplace
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 to share that Roboflow [https://roboflow.com/] is now available in
the Microsoft Azure Marketplace
[https://cts.businesswire.com/ct/
• 7 min read
Detecting Lucky Charm Marshmallows Using Computer Vision - They're Mathematically Delicious
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 part of the classic breakfast cereal.
In August of 2020, General Mills began selling pouches of "Just Magical
Marshmallows&
• 6 min read
Building an Autonomous Vehicle with Object Detection
Ampera Racing [http://www.amperaracing.com/] is a team formed by students from
UFSC (Federal University of Santa Catarina [https://en.ufsc.br/]) with the
objective of developing an electric vehicle every year and promoting the
mobility of the future.
In 2021 we realized that we could reach a new
• 1 min read
Launch: Instance Segmentation Project Training and Inference
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 shape. In other words, it is the outline of a given
object.
It also includes a bounding box surrounding the
• 4 min read
Launch: Roboflow OAK pip package
roboflowoak pip package lets you natively interface with your Roboflow workspace through Python scripts and deploy to an OAK device.
• 4 min read
Boxing Punch Detection Using Computer Vision
One of the best parts about joining Roboflow [https://roboflow.com/careers] is
doing a computer vision project in your first 2 weeks. As someone who loves to
workout, I wanted to focus my project on a fitness related use case. I often mix
boxing workouts into my routine, and
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