• 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 and it's not doing as well as you'd hoped. Now what? You could experiment with augmentation, try a different architecture, or check your training data for errors. But what if those all fail?
Oftentimes, the single most impactful
• 2 min read
Introducing the Object Count Histogram
We are excited to announce the introduction of object count histograms, now available in the Roboflow dataset health check.
• 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
• 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
• 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
• 2 min read
Get a Hosted API for your Object Detection Model
Roboflow provides tools for labeling, organizing, and training a computer vision model. Once you finish running one of the Jupyter notebooks from our Computer Vision tutorials you can download a weights file optimized for making predictions on your custom dataset.
The Current State of Affairs
But what next? How do
• 3 min read
How To Annotate Images with Your Team Using Roboflow
Dataset annotation is better with teams: you can move more quickly, keep everyone on the same page, track annotation progress, and easier provide examples of what the ultimate dataset should look like.
In this post, we'll walkthrough an example workflow of annotating data with your team using Roboflow
• 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.
• 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.
• 2 min read
Unveiling Our New Limited Edition T-Shirt
A huge benefit of working for Roboflow is interacting with all the builders and creators using our platform. Every day, Roboflow users are experimenting with computer vision to solve fascinating problems and we're always impressed with their creativity.
We especially love it when we can feature their work
• 2 min read
Introducing Roboflow Annotate
Since we launched Roboflow 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 part of the
• 1 min read
Share Your Datasets with the Computer Vision Community
Computer vision problems start with finding high quality image datasets. Fortunately, access to common image data is increasingly easier. Datasets like Microsoft's COCO dataset and the Pascal VOC dataset provide a standard for common objects and measuring the efficacy of state-of-the-art computer vision models (like Scaled-YOLOv4, PP-YOLO, YOLOv4,
• 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
• 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
• 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 and Sujay Sundar, 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 professor. Both are sophomores at Jericho High School, showing that
• 2 min read
Revamping Train, Validation, Test, Split Management
Splitting data into train, validation, and test splits is essential to building good computer vision models. Today, we are announcing in-app changes to Roboflow that make it even easier to manage your train test splits as you are working through the computer vision workflow.
• 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.
• 4 min read
Bringing Street Murals to Life with Computer Vision
In Bedford–Stuyvesant, Brooklyn (BedStuy), Yuri Fukuda regularly walks by a mural that showcases prominent female leaders. Since October 2005, a stunning 3,300 square foot mural, When Women Pursue Justice by ArtMakers-NYC, has had a central place in the BedStuy art scene. The mural celebrates 90 women who have
• 5 min read
YOLOv4 - Ten Tactics to Build a Better Model
The YOLO v4 repository is currently one of the best places to train a custom object detector, and the capabilities of the Darknet repository are vast. In this post, we discuss and implement ten advanced tactics in YOLO v4 so you can build the best object detection model from your custom dataset.
• 3 min read
Hands on with the Roboflow Infer Web Application Interface Builder
After you train a model with Roboflow Train, you're provided with three immediate ways to use your model: a curl command, the direct URL, and an Example Web App. In this post, we'll demonstrate hands on how to use the web application (as well as how
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