• 3 min read
How to Implement Object Tracking for Computer Vision
This post is a comprehensive guide on how to implement object tracking with your object detection model to track your custom objects
• 2 min read
Our New REST API
Today we're excited to announce the launch of our new REST API, a way for your code to interface with the information stored in your Roboflow workspace. Read the full API documentation here.
We're launching with five read-only API routes (to access commonly used data about
• 1 min read
Roboflow Changelog: September 2021
Welcome to another installment of the Roboflow Changelog where we summarize the improvements to Roboflow's product suite over the preceding month. You can find the last changelog (for August 2021) here.
The biggest highlights from last month were celebrating the release of Roboflow Universe, our community space for
• 1 min read
What is Amazon Rekognition?
"ML in a Minute" is our conversational series on answering machine learning questions. Have questions you want answered? Tweet at us.
What is Amazon Rekognition (in 60 Seconds or Fewer)?
Amazon's Rekognition is Amazon's off-the-shelf computer vision API for understanding the contents of images.
• 1 min read
Live Coding: Blackjack Basic Strategy
Follow along as I use a playing cards object detection model from Roboflow Universe to build a computer-vision powered Blackjack basic strategy web-app. In just two hours, we go from the boilerplate sample code to a working app you can try on your phone or computer's webcam.
If
• 3 min read
What is Zero Shot Object Tracking?
We are exciting to announce that you can now track objects frame over frame in video and camera stream using the Roboflow Inference API and the open source zero shot object tracking repository, without having to train a separate classifier for your object track features.
• 5 min read
ImageNet contains naturally occurring NeuralHash collisions
NeuralHash is the perceptual hashing model that back's Apple's new CSAM (child sexual abuse material) reporting mechanism. It's an algorithm that takes an image as input and returns a 96-bit unique identifier (a hash) that should match for two images that are "the
• 3 min read
Mitigating the Collision of Apple's CSAM NeuralHash
This morning, Hacker News was ablaze with several stories about vulnerabilities in Apple's CSAM NeuralHash algorithm. Researchers had found a way to convert the NeuralHash model to ONNX format and reverse engineer a hash collision (in other words: they created an artificial image with the same hash as
• 1 min read
What is CoreML?
"ML in a Minute" is our conversational series on answering machine learning questions. Have questions you want answered? Tweet at us.
What is CoreML (in 60 Seconds or Fewer)?
CoreML is Apple's machine learning framework for doing on device inference. When you're doing on
• 3 min read
Roboflow Universe: the Computer Vision Community
We’re excited to introduce Roboflow Universe, the new hub for computer vision datasets and pre-trained models.
• 1 min read
Roboflow Changelog: August 2021
Each month we share a recap of our monthly updates and releases in the Roboflow Changelog. The previous Changelog is available here.
In July, the product team's major emphasis was on a new product we'll be releasing at our Launch Party on Wednesday, August 11 -
• 4 min read
Using Computer Vision to Accelerate Microbiology Research and Combat Antibiotic Resistance
Michael Shamash is a Master’s student in the Maurice Lab at Canada's McGill University. Michael used Roboflow to streamline the production of a model and iOS app for use in microbiology.
• 3 min read
Transformers Take Over Object Detection
It seemed just like a matter of time... and now the Transformers neural networks have landed - Microsoft's DyHead achieves state of the art object detection using a Transformer backbone.
• 6 min read
How to Train YOLOX On a Custom Dataset
The YOLO family continues to grow with the next model: YOLOX. In this post, we will walk through how you can train YOLOX to recognize object detection data for your custom use case.
• 1 min read
What is ONNX?
Learn what ONNX is and when it i sused in computer vision.
• 2 min read
Roboflow for Students and Universities
We've seen tremendous interest in Roboflow from the research community. Faculty and students from institutions ranging from California to Malta to Taiwan have been using Roboflow to accelerate their computer vision work.
• 9 min read
Experimenting with CLIP and VQGAN to Create AI Generated Art
Earlier this year, OpenAI announced a powerful art-creation model called DALL-E. Their model hasn't yet been released but it has captured the imagination of a generation of hackers, artists, and AI-enthusiasts who have been experimenting with using the ideas behind it to replicate the results on their own.
• 2 min read
Announcing On-Prem and Offline Mode for Roboflow Deploy
With Roboflow, you can train a custom computer vision model in one click and get an infinitely scalable API to receive predictions and you can also deploy directly to devices like the NVIDIA Jetson, OpenCV AI Kit, and even directly into users' web browsers.
But what if you have
• 2 min read
Using Computer Vision to Clean the World's Oceans
Global plastic production has exceeded 500 million tons. Moreover, estimates from the US Environmental Protection Agency indicate that 30 percent of all produced plastic will end up in the oceans.
With this in mind, researchers Gautam Tata, Sarah-Jeanne Royer, Olivier Poirion, and Jay Lowe from CSU Monterey Bay, The Ocean
• 4 min read
5 Reasons to not Fully Outsource Labeling
So you're working on building a machine learning model, and you have hit the realization that you will need to annotate a lot of data to build a performant model. In the machine learning meta today, you will be bombarded with services offering to fully outsource your labeling woes.
• 4 min read
Solving the Out of Scope Problem
When we are teaching a machine learning model to recognize items of interest, we often take a laser focus towards gathering a dataset that is representative of the task we want our algorithm to master.
• 10 min read
How AI Protects My Garden from Rabbits
Rabbits were eating all of my vegetables. I decided to take a stand and implement a computer vision enabled system to automatically spook them away from my garden.
• 3 min read
Announcing Image Classification Support, End to End
We are excited to announce full support for image classification in Roboflow, from image collection and organization, to annotation, to custom training, and deployment.
• 7 min read
How Atos Uses Computer Vision to Monitor Office Occupancy
Building & deploying a privacy-first model to the edge with Roboflow in 60 days
The COVID-19 pandemic changed how and where we work. Fortunately, in some countries, the pandemic appears to be nearing its final act. As companies around the globe make measured decisions regarding returning to the office, keeping
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