• 15 min read
What is CLIP? Contrastive Language-Image Pre-Processing Explained.
CLIP is an open source, multimodal computer vision model developed by OpenAI. Learn what CLIP is in this guide.
Blog
Matt Brems
Growth Manager @ Roboflow. Previously solved data science problems across finance, education, politics, and more. Passionate about teaching and empowering others to accomplish more.
Latest Posts by Matt Brems
• 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
• 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
[https://techcrunch.com/2021/01/12/roboflow-raises-2-1m-for-its-end-to-end-computer-vision-platform/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAALHkxHU44NN7l8ao6JPMA1tPtxbqgUuaDArSLdQvJxehHTVzYkFUN7EouPCZqORG-VxhR7KHw4BfZSYWKF076uZxnzL2OunWuEAaA-w8oCOjbVGl2iQTmiQfYhD9fI8h6DzWwJtjexpNAJm4TezFrY0rI5YeMhcTOniUX4xZIPNA]
, we've come in first place on the Pioneer leaderboard
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• 3 min read
How to Use Computer Vision to Keep Stock of Inventory
Learn how to use computer vision to track inventory in logistics facilities.
• 2 min read
Using Computer Vision to Extract Document Structure
This is a guest post written by Frederik Brammer, a student in Germany.
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Due to the Coronavirus pandemic, working from home has become more important
than ever. Because of homeschooling, school servers have crashed due to the
enormous amount of traffic – in some cases, multiple days go by without
• 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.
• 1 min read
Webinar: How to Build a Detectron2 Model with Roboflow and Paperspace Gradient
Missed the event or looking for the recording? Check out the Roboflow + Paperspace Detectron2 webinar recording here and notebook here!
Tomorrow, Roboflow and Paperspace are co-hosting a webinar teaching you how to build a Detectron2 model with our tools. Roboflow gives you "everything you need to start building computer
• 3 min read
Danger Monitoring for Cyclists using Raspberry Pi and Object Detection
This is a guest post authored by Herberto Warner
[https://www.linkedin.com/in/h-werner-252876209/] and lightly edited by the
Roboflow team. Herberto's Github
[https://github.com/Hberto/dangerMonitoringAIObjectDetect] hosts all of the
images used in his project.
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Increasing numbers of dangers and accidents for cyclists
Cyclists
• 4 min read
Using Computer Vision to Detect Personal Protective Equipment
This is a guest post by data scientist Jaco Lau
[https://www.linkedin.com/in/jaco-lau-499ab767/]; this has been lightly edited
by the Roboflow team.
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Having worked in construction, I constantly found myself reminding
subcontractors to wear the proper Personal Protective Equipment (PPE). Wearing
the proper PPE can save
• 3 min read
5 Emerging Trends in Computer Vision Applications from OpenCV's AI Competition
As part of Roboflow [https://roboflow.com/]'s new partnership with OpenCV
[https://blog.roboflow.com/roboflow-opencv-partnership/], I had the opportunity to be
involved with the first round of the 2021 OpenCV AI Competition
[https://opencv.org/opencv-ai-competition-2021/]. If you haven't heard of the
competition, it'
• 9 min read
How to Use Roboflow and Streamlit to Visualize Object Detection Output
Building an app for blood cell count detection.
The app in action.Most technology is designed to make your life, or your work,
easier. If your work involves building computer vision into your applications,
using the Roboflow [https://roboflow.com/] platform gives you everything you
need.
Streamlit [https://www.streamlit.
• 4 min read
How to Use Google Earth Engine and Python API to Export Images to Roboflow
This is a guest post written by Ethan Arsht and Raluca Cîrju.
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Google Earth Engine [https://earthengine.google.com/] is a powerful tool for
analyzing and acquiring geographic data. Machine learning experts use Google
Earth Engine to identify physical attributes and analyze patterns, in areas
including forestry, farmland, ice
• 3 min read
Using Computer Vision to Improve Disability Access in Music Education
This is a guest post by Mehek Gosalia, a high school student from Sammamish, Washington. She plans to study computer science.
Over the past 4 years, I've worked to develop a disability-accessible rhythm education tool called the Mehek Box. It started as a physical tool, a box representing
• 4 min read
Using Computer Vision to Make Card Grading Faster and Cheaper
This blog post is a guest post by James Nitsch, a mobile developer (Android)
with WillowTree Apps living in Charlottesville, VA. He's passionate about
do-it-yourself hardware projects, 3D printing, and machine learning & computer
vision. He's happily employed but always loves collaborating and tackling
innovative or
• 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
Using Computer Vision to Detect Package Deliveries
This post is a guest post written by Brian Egge. Brian works in finance, though this is a personal project.
Many households are getting more packages delivered than ever before. In my neighborhood the delivery drivers don’t ring the doorbell or announce they’ve dropped a package off. Many
• 5 min read
Using Computer Vision to Boost Cities' Efficiency by Reallocating Police Resources
The below post is a guest post written by data scientist Joseph Rosenblum. He is using computer vision to make cities more efficient and decrease the bias in traffic-related policing. (He is open to new opportunities!)
Municipalities today are cash-strapped, with $360 billion in losses expected between 2020 and 2022
• 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 [https://www.kaggle.com/] is a great resource
for free data and for competitions. For example, there's currently an open
Kaggle competition detecting American football helmet impacts
• 4 min read
Tackling the Internet of Things with Roboflow: Object Detection Apps on Android
Joo chan Kim, PhD student, is developing an object detection application for Android devices that can identify specific IoT sensors by using a custom detection model.
• 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.
• 7 min read
5 Strategies for Handling Unbalanced Classes
Suppose you're trying to teach an alien – like one of the crewmates from the
wildly popular game Among Us [http://www.innersloth.com/gameAmongUs.php] – to
tell the difference between a human and a dog.
"Purp is sus." Three aliens from the game Among Us
[http:
• 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 [https://arxiv.org/abs/2011.08036], establishing a new state of
the art in object detection [https://blog.roboflow.com/object-detection/].
Looking to train a Scaled-YOLOv4 model?
Skip this post and jump
• 5 min read
How to Run Jupyter Notebooks on an Apple M1 Mac
Learn how to run Jupyter Notebooks on Apple M1 Macbooks.
• 3 min read
Generating Renaissance Art with Computer Vision
The below post is a guest post written by Samay Lakhani
[https://www.linkedin.com/in/samay-lakhani-b634591a9/] and Sujay Sundar
[https://devpost.com/sujay9sundar], two budding data scientists. Samay currently
interns with a Silicon Valley tech company; Sujay currently does research under
the mentorship of a CUNY Staten Island neuroscience
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