News

We Raised a $20M Series A to Continue Democratizing Computer Vision

Today, Roboflow is excited to announce our $20 million Series A led by Craft Ventures to expand on our mission to give software the sense of sight. Lachy Groom, who

OpenAI's CLIP is the most important advancement in computer vision this year

CLIP is a gigantic leap forward, bringing many of the recent developments from the realm of natural language processing into the mainstream of computer vision: unsupervised learning, transformers, and multimodality

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

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

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.

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.

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.

For the People, By the People

Computer vision, on the whole, is an ambitious undertaking. We are developing technology that can see the world as we see it - to recognize simple objects like trees and

The Joys of Sharing Models on OpenCV's Modelplace

If we could all get together and share our model creation and deployments, that would be a very good thing for the computer vision community. Modelplace is a big step in that direction.

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.

Partnering with Luxonis and OpenCV for Seamless Deployment to OpenCV AI Kit

Deploying computer vision models to the edge is critical to unlocking new use cases like in places with limited internet connectivity or where minimal latency is essential. That might be

How We at Roboflow Do Remote Work

We'd like to think we've worked remotely pretty successfully: we raised a seed round, we've come in first place on the Pioneer leaderboard for a record-breaking 25-weeks in a row,

How to Use Roboflow with IBM Visual Recognition (IBM Watson vs Roboflow)

IBM recently announced they are shutting down IBM Visual Inspection, their product for creating custom computer vision models for classification and object detection. No new instances can be created and

Andrew Ng: "Deploying to production means you're halfway there."

Andrew Ng, the co-founder of Google Brain and Coursera and former Chief Scientist at Baidu, spoke at this week's Scale Transform conference on the transition from "big data" to "good

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 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.

5 Emerging Trends in Computer Vision Applications from OpenCV's AI Competition

As part of Roboflow's new partnership with OpenCV, I had the opportunity to be involved with the first round of the 2021 OpenCV AI Competition. If you haven't heard of

Roboflow and OpenCV Partner to Advance Computer Vision Capabilities for All Developers

OpenCV has been a key part of advancing computer vision capabilities for developers for over 20 years. The Open Source Computer Vision Library on Github has over 50,000 stars,

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.

Using Computer Vision to Help Win $1 Million in Mountain Dew's Big Game Contest

Last night during Super Bowl LV, Mountain Dew ran an ad featuring John Cena riding through a Mountain Dew-themed amusement park. Bottles are scattered all over the scene: neon signs

Announcing Roboflow’s Seed Round

Computer vision is a generational technology. Like the PC, internet, and mobile phones, computer vision’s impact will reshape every industry. In transportation, for example, the advent of machine vision

How to Try CLIP: OpenAI's Zero-Shot Image Classifier

Earlier this week, OpenAI dropped a bomb on the computer vision world.

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.

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

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