• 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
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.
• 4 min read
Prompt Engineering: The Magic Words to using OpenAI's CLIP
Featuring rock, paper, scissors.
OpenAI's CLIP model (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 about the content of images without
• 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.
• 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
• 3 min read
Image Augmentations for Aerial Datasets
Learn how to apply image augmentations to aerial datasets for use in training computer vision models.
• 4 min read
How important is subject similarity for transfer learning?
Using transfer learning to initialize your computer vision model from pre-trained weights rather than starting from scratch (initializing randomly) has been shown to increase performance and decrease training time. It makes sense, by giving your model prior knowledge about basic concepts like lines, curves, textures, and "things" it
• 6 min read
Zero-Shot Content Moderation with OpenAI's New CLIP Model
Learn how to use the CLIP zero-shot model to moderate visual content.
• 4 min read
What Is Embedded Machine Learning?
Machine learning – the software discipline of mapping inputs to outputs without explicitly programmed relationships – requires substantial computational resources. Traditionally, this limits where machine learning models can run to very powerful supercomputers. But this is changing.
Computation is required at two core moments in the machine learning development lifecycle: model training
• 8 min read
How We Built Paint.wtf, an AI Game with 150,000+ Submissions that Judges Your Art
Paint.wtf is an online game that uses AI to score user-submitted digital drawings to zany prompts like, "Draw a giraffe in the arctic" or "Draw a bumblebee loves capitalism." It's Cards Against Humanity meets Microsoft Paint.
Paint.wtf became an internet sensation. In
• 4 min read
Liquid Neural Networks in Computer Vision
Excitement is building in the artificial intelligence community around MIT's recent release of liquid neural networks. The breakthroughs that Hasani and team have made are incredible. In this post, we will discuss the new liquid neural networks and what they might mean for the vision field.
• 7 min read
How to Train and Deploy a License Plate Detector to the Luxonis OAK
In this post, we will leverage Roboflow and the Luxonis OAK to train and deploy a custom license plate model to your OAK device.
• 3 min read
Using Computer Vision to Win at Duck Hunt
Can we use object detection to automate identifying moving objects on a screen? Abhinav Mandava leverages Roboflow to create an aimbot (which automates aiming and firing for the player) for Duck Hunt.
• 4 min read
A Primer on Transfer Learning
Transfer learning is a machine learning (ML) technique where knowledge gained during training a set of problems can be used to solve other related problems. It’s very similar to the concept of reusing code in computer programming, except instead of sharing code between different applications or software projects, we’
• 5 min read
How to Try CLIP: OpenAI's Zero-Shot Image Classifier
Earlier this week, OpenAI dropped a bomb on the computer vision world.
• 5 min read
Football, Kaggle, Roboflow: Using Computer Vision to Tackle Helmet Safety
If you're searching for a dataset to use or are looking to improve your data science modeling skills, Kaggle is a great resource for free data and for competitions. For example, there's currently an open Kaggle competition detecting American football helmet impacts (crashes) in which you
• 5 min read
How to Train Scaled-YOLOv4 to Detect Custom Objects
Object detection technology advances with the release of Scaled-YOLOv4. This blog is written to help you apply Scaled-YOLOv4 to your custom object detection task, to detect any object in the world, given the right training data.
• 4 min read
Apple's M1 is up to 3.6x as fast at training machine learning models
We compared the Apple M1 chip to the Intel Core i5 chip on an object detection task using Create ML.
• 8 min read
Scaled-YOLOv4 is Now the Best Model for Object Detection
(based on Microsoft COCO benchmarks)
The object detection space remains white hot with the recent publication of Scaled-YOLOv4, establishing a new state of the art in object detection.
Looking to train a Scaled-YOLOv4 model?
Skip this post and jump straight to our Scaled-YOLOv4 training tutorial. You'll have a
• 6 min read
Google Researchers Say Underspecification is Ruining Your Model Performance. Here's Five Ways to Fix That.
We read that Google underspecification paper so you don't have to.
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