• 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.
Blog
Brad Dwyer
Roboflow cofounder and CTO. Building the computer vision infrastructure for developers. Previously founded Hatchlings and created Product Hunt's AR App of the Year.
Latest Posts by Brad Dwyer
• 3 min read
Andrew Ng: "Deploying to production means you're halfway there."
Andrew Ng [https://twitter.com/andrewyng], the co-founder of Google Brain
[https://research.google/teams/brain/] and Coursera [https://www.coursera.org/]
and former Chief Scientist at Baidu [http://research.baidu.com/], spoke at this
week's Scale Transform conference [https://scale.com/events/transform] on the
transition from
• 2 min read
Video Inference with Roboflow
One common question we get is "Can I use my Roboflow model on a video?" The
answer is yes! Videos are really just a sequence of images, so your model can
give predictions just like it does on images.
The process is simple: 1) split your video into
• 2 min read
Introducing Roboflow Support for NVIDIA Jetson
💡Roboflow Inference, which you can use to deploy computer vision models to a Jetson (among many other devices), is now available as an open source project.
See the Quickstart to get started.
Deploy Models to NVIDIA Embedded Devices
Deploying models to the edge offers unique benefits: inference speeds can be
• 1 min read
Roboflow Changelog: March 2021
The monthly changelog showcases improvements in Roboflow over the past month. You can find the previous changelog here.
In February, we had a major focus on reinforcing our foundation; after several months of rapid feature expansion we spent a considerable amount of time fixing bugs, improving infrastructure, and preparing for
• 8 min read
Running Tensorflow JS on an NVIDIA Jetson
The NVIDIA Jetson line is a series of AI-capable low-power computers. They range
from the $59 Jetson Nano (2GB) to the $899 Jetson AGX Xavier and are a popular
choice for powering machine learning projects on the edge.
Tensorflow.js is a library for deploying machine learning in JavaScript; it
• 3 min read
Introducing Upload Batches, the Unannotated Queue, and Mark as Null
This week we updated the workflow for uploading and annotating images to
streamline the process, help you keep track of your progress, and make it easier
to divide work amongst your team.
If you've worked on an ongoing computer vision project with iterative
improvement via active learning [https:
• 2 min read
Roboflow Changelog: February 2021
Welcome to our monthly roundup post of new features and enhancements. You can find the previous changelog here.
The biggest new features released this month were transfer learning and Label Assist.
Roboflow Organize
* Announced teams for all (now teams of up to 3 people can collaborate on the Starter Plan
• 10 min read
Using Unity Perception to train an object detection model with synthetically generated images
Collecting images and annotating them with high-quality labels can be an
expensive and time-consuming process. The promise of generating synthetic data
to reduce the burden is alluring. In the past we have covered techniques such as
augmentation
[https://docs.roboflow.com/image-transformations/image-augmentation], context
synthesis [https://blog.roboflow.com/how-to-create-a-synthetic-dataset-for-computer-vision/
• 1 min read
Launch: Model Assisted Labeling
Use Roboflow Trained Models to Annotate Data
One of the most time-consuming parts of the computer vision workflow is curating a high-quality dataset. When we launched Roboflow Annotate last month we aimed to streamline this process by launching an easy to use image annotation tool built right into your computer
• 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.
• 3 min read
Using the Upload API to Collect Images from the Wild
The key to production quality machine learning models is continuous iteration
and improvement. The first step is getting a model that is "good enough" for
your first version. But once you deploy to the real world you'll invariably find
edge cases that confuse your model.
Collecting
• 4 min read
Using Public Datasets to Improve your Computer Vision Models
Ok, so you've trained a model
[https://blog.roboflow.com/how-to-train-yolov5-on-a-custom-dataset/] and it's not doing as
well as you'd hoped. Now what? You could experiment with augmentation
[https://blog.roboflow.com/boosting-image-detection-performance-with-data-augmentation/],
try a different architecture [https://models.roboflow.com], or check your
training
• 2 min read
Roboflow Changelog: January 2021
Welcome to our monthly changelog where we catalog our recent feature additions and improvements. If you missed it, you can find last month's changelog here.
This month we launched Roboflow Annotate, an integrated image annotation tool included in all Roboflow plans. In the first few weeks, over 1500
• 2 min read
Get a Hosted API for your Object Detection Model
Roboflow provides tools for labeling [https://roboflow.com/annotate], organizing
[https://docs.roboflow.com/], and training [https://docs.roboflow.com/train] a
computer vision model [https://models.roboflow.com]. Once you finish running one
of the Jupyter notebooks from our Computer Vision tutorials
[https://blog.roboflow.com/tag/tutorials/] you
• 2 min read
Introducing Roboflow Annotate
Since we launched Roboflow [https://roboflow.com] in early 2020, our vision has
always been to improve and streamline the workflow of computer vision projects
so that developers can focus on the parts of their project that are unique, not
on reinventing the wheel. But there's been one
• 1 min read
Roboflow Changelog: December 2020
Welcome to the first of our monthly changelogs, where we will be cataloging our recent feature additions and improvements.
Roboflow Organize
* Added ability to rebalance train/test split
* Clarified pro plan features in-app
* Sped up thumbnail generation
* Added image upload by URL to the upload API
* Paginated the image listing
• 31 min read
Software Engineering Daily Podcast
Roboflow co-founder Brad Dwyer was a guest on the Software Engineering Daily podcast. Listen on your favorite podcast app (Apple Podcasts, Spotify, Overcast, Stitcher), or see the full transcript below.
Software Engineering Daily: Roboflow: Computer Vision Models with Brad Dwyer on Apple PodcastsTraining a computer vision model is not easy.
• 1 min read
Fighting Wildfires with Computer Vision
Abhishek Ghosh is training a computer vision model to detect the first signs of smoke from a forest fire with the ultimate hope of dispatching a drone to douse it with water before it gets out of control.
It's all part of a project he's working
• 2 min read
Roboflow Wins $15,000 Award
Roboflow is honored to be named as one of Iowa's most promising startups and one
of the top 3 winners of the Pappajohn Entrepreneurial Venture Competition. The
annual awards honor companies with innovative technology that have grown
quickly.
Since launching in January, Roboflow has helped over 8,000
• 23 min read
Glossary of Common Computer Vision Terms
Computer Vision (and Machine Learning in general) is one of those fields that can seem hard to approach because there are so many industry-specific words (or common words used in novel ways) that it can feel a bit like you're trying to learn a new language when you're trying to get started.
• 3 min read
Training Robots to Identify Other Robots
Amitabha Banerjee [https://twitter.com/hiamitabha] used YOLOv5
[https://models.roboflow.com/object-detection/yolov5] and Roboflow to teach his
Anki Vector robot to detect other robots. This is not only a fun project to
teach machine learning but it could have real world implications as well. In the
future, we&
• 5 min read
How to Build Computer Vision Models with Apple CreateML
What is CreateML?
CreateML is a machine learning tool developed by Apple that you can use to build models that work with images, sound, text, and more. CreateML integrates with the rest of the Apple ecosystem, providing a no-code platform through which you can train models for use in your
• 2 min read
What is an annotation group?
If you're wondering this, you're not alone. The annotation group is the category
that encompasses all of the classes in your dataset. It answers the question
"What kind of things are labeled in this dataset?"
Why do you need an annotation group?
It'
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