• 6 min read
How to Train MobileNetV2 On a Custom Dataset
In this post, we will walk through how you can train MobileNetV2 to recognize image classification data for your custom use case.
• 7 min read
Building vs. Buying a Computer Vision Platform
“You could do what Roboflow does yourself but…why would you?”
-Jack Clark, Co-Founder of Anthropic, former Policy Directory at OpenAI,
It’s no secret that building a computer vision model on your own is hard work. It requires wrangling together different platforms, open-source tools, and developer notebooks to create
• 4 min read
How to Train with Microsoft Azure Custom Vision and Roboflow
Roboflow is a tool for building robust machine learning operations pipelines for computer vision: from collecting and organizing images, annotating, training, deploying, and creating active learning pipelines to rapidly create improved model performance.
When it comes to the training step, developers should optimize for ease. Roboflow Train enables teams to
• 6 min read
How to Train the Hugging Face Vision Transformer On a Custom Dataset
Learn how to train a Hugging Face Vision Transformer on a custom dataset for classification.
• 1 min read
Roboflow Changelog: June 2021
Each month, we publish a list of recent features and additions to the Roboflow suite of products. The previous month's update is here.
In May there has been a bevy of backend changes to support a huge user-facing release coming next month. The most noticeable updates this month
• 5 min read
What Does "End to End" Really Mean?
Developing, deploying and optimizing computer vision models used to be a cumbersome, painful process. With Roboflow, we sought to democratize this technology, which (first and foremost) meant knocking down the barriers that we perceived were preventing everyday people from exploring and implementing computer vision in their work and daily lives.
• 6 min read
License Plate Detection and OCR on an NVIDIA Jetson
In this blog, we discuss how to train and deploy a custom license plate detection model to the NVIDIA Jetson. While we focus on the detection of license plates in particular, this guide also provides an end-to-end guide on deploying custom computer vision models to your NVIDIA Jetson on the edge.
• 7 min read
Roboflow Competitors and Alternatives
We think it's important for users to make a fully informed decision, so we're
committed to maintaining a comparison between our software and our competitors'
so you can make the best purchasing decision for your business.
Where does Roboflow fit in?
Roboflow is an end-to-end
• 3 min read
What is a Cutout Augmentation and When Can it Help?
Applying data augmentations
[https://blog.roboflow.com/boosting-image-detection-performance-with-data-augmentation/]is
one of the most essential steps when developing your dataset. Roboflow offers a
wide variety of augmentations that you can apply to your dataset including an
augmentation called the cutout augmentation. In this blog you will learn:
* What cutout augmentations are
• 3 min read
Why Roboflow Train?
If deployment is the magic of computer vision, then the act of training a model is the proverbial wave of that wand. Training a computer vision model is the process by which a computer learns to detect specific objects within images - put simply (and more elegantly), it’s how
• 6 min read
How Computer Vision Streamlines Risk Avoidance Workflows in Oil & Gas
The below is a guest post by Douglas Long
[https://www.linkedin.com/in/doug-long-yyc/], a full stack developer in Calgary,
Canada. Douglas previously worked in oil and gas.
In the oil and gas industry, providing advanced notification for the development
of energy infrastructure is a regulatory requirement. New pipelines
• 4 min read
Prompt Engineering: The Magic Words to using OpenAI's CLIP
Featuring rock, paper, scissors.
OpenAI's CLIP model [https://models.roboflow.com/classification/clip]
(Contrastive Language-Image Pre-Training) is a powerful zero-shot classifier
that leverages knowledge of the English language to classify images without
having to be trained on any specific dataset.
In other words, CLIP already knows a lot
• 10 min read
License Plate Detection and OCR using Roboflow Inference API
In this post, we’ll walk you through creating a license plate detection and OCR model using Roboflow that you can programmatically use for your own projects.
• 4 min read
PP-YOLO Strikes Again - Record Object Detection at 68.9FPS
Object detection research is white hot! In the last year alone, we've seen the state of the art reached by YOLOv4, YOLOv5, PP-YOLO, and Scaled-YOLOv4. And now Baidu releases PP-YOLOv2, setting new heights in the object detection space.
• 8 min read
How to Train and Deploy Custom Models to Your OAK
In this blog, we'll walk through the Roboflow custom model deployment process to the OAK and show just how seamless it can be.
• 3 min read
Partnering with Luxonis and OpenCV for Seamless Deployment to OpenCV AI Kit
Deploying computer vision models to the edge is critical to unlocking new use
cases like in places with limited internet connectivity or where minimal latency
is essential. That might be deploying to a rural field in agriculture or
computer vision in high throughput manufacturing
[https://blog.roboflow.com/computer-vision-use-cases-for-manufacturing/].
As
• 1 min read
Roboflow Changelog: May 2021
The changelog is our compendium of monthly updates. If you want to take a walk down memory lane, you can being your trip back in time with last month's edition.
In April, our major product efforts centered around launching our brand new user interface. This redesign of our
• 8 min read
The power of image augmentation: an experiment
One of the amazing things about computer vision is using existing images plus
random changes to increase your effective sample size. Suppose you have one
photo containing a coffee mug. Then, copy that photo and rotate it 10 degrees
clockwise. From your point of view, you haven’t done very
• 2 min read
Using videos as training data
Oftentimes, the visual data you'll want to analyze will come in the form of
video. It may be security camera footage
[https://roboflow.com/industries/safety-and-security], YouTube videos
[https://blog.roboflow.com/using-computer-vision-to-find-brands-in-youtube-videos/], or
webcam recordings [https://blog.roboflow.com/python-webcam/]. We know how to use Roboflow
with
• 3 min read
Image Augmentations for Aerial Datasets
Learn how to apply image augmentations to aerial datasets for use in training computer vision models.
• 6 min read
How We at Roboflow Do Remote Work
We'd like to think we've worked remotely pretty successfully: we raised a seed round, we've come in first place on the Pioneer leaderboard for a record-breaking 25-weeks in a row, we publish at least five pieces of content each week (check out our blog
• 3 min read
Computer Vision is Shaking Up Brick-and-Mortar Retail
Computer vision is changing the landscape of retail storefronts. While it’s most
often experienced in places like self-checkout lines, innovative retailers have
realized the potential that computer vision can offer them by rolling it out to
other functions within their stores.
The largest retail companies on the bleeding edge
• 1 min read
Roboflow's new User Interface
When you log into your Roboflow account you'll notice a fresh look, but the
features you know and love are all still just a click away. We've reorganized
the app to make things easier to find, simpler to navigate, and primed for
future enhancement.
Video overview
• 3 min read
Top 5 Ways Computer Vision Can Improve Online Shopping and Boost Revenue
Few things are as natural a fit as ecommerce and computer vision. With the bulk of online retail experiences being built on quality image data uploaded by both storefronts and customers, computer vision has the power to use all of that data to elevate the online shopping experience.
Ecommerce marketplaces
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