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
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.
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.
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
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,
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, 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
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
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.
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
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,
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.
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
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
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
(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
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.
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
Recently, Roboflow machine learning engineer Jacob Solawetz sat down with Elisha Odemakinde, an ML researcher and Community Manager at Data Science Nigeria, for a Fireside chat. During the conversation, Jacob
Fastai, the popular deep learning framework and MOOC releases fastai v2 with new improvements to the fastai library, a new online machine learning course, and new helper repositories. fastai's layered
Roboflow is enabling any developer to use computer vision (without being a machine learning expert). Computer vision is the first technology that fundamentally allows us to rewrite human-computer interaction. Until
This guide will take you the long distance from unlabeled images to a working computer vision model deployed and inferencing live at 15FPS on the affordable and scalable Luxonis OpenCV AI Kit (OAK) device.
Baidu publishes PP-YOLO and pushes the state of the art in object detection research by building on top of YOLOv3, the PaddlePaddle deep learning framework, and cutting edge computer vision research.
The TensorFlow Object Detection API has been upgraded to TensorFlow 2.0. We discuss here what the new library means for computer vision developers and why we are so excited
On June 25th, the first official version of YOLOv5 was released by Ultralytics. In this post, we will discuss the novel technologies deployed in the first YOLOv5 version and analyze
We appreciate the machine learning community's feedback, and we're publishing additional details on our methodology.(Note: On June 14, we've incorporated updates from YOLOv4 author Alexey Bochkovskiy, YOLOv5 author Glenn
Less than 50 days after the release YOLOv4, YOLOv5 improves accessibility for realtime object detection.June 29, YOLOv5 has released the first official version of the repository. We wrote a
The Open Data Science Conference (East) looked a bit different this year. While typically 6,000+ data science professionals gather in Boston for the Expo, the team at ODSC moved
