OpenCV AI Competition Popular Vote Winners on Live Webinar + More
Greetings from San Francisco to wherever you may be. In this edition of the OpenCV Newsletter: We ask you to participate in OpenCV's survey of most-used IDEs for Python and C++, invite you to today's webinar with an OpenCV AI Competition winning team, and more!
OpenCV Community IDE Survey 2024
OpenCV is running our first survey of the new year. This will help us understand the needs of you in the community, as we move forward with OpenCV 5, and inform other initiatives large and small.
The survey will take fewer that 5 minutes to complete, and asks what IDE(s) you use while working with OpenCV. Please participate! These answers will not just help us understand the community, but is useful data for attracting sponsors and partners which can help support OpenCV's development.
We will keep submissions open for several weeks. Feel free to share the link around to ensure we reach the entire community.
Sponsor: Real-time Defect Detection Kit with Edge AI
Trying to solve a problem with AI computer vision and defect detection? You can save time and effort with Intel’s Defect Detection kit. It detects anomalies in real-time, making it shine in scenarios like quality control in manufacturing. You can use it for its computer vision capabilities or extend it even further by using it with a Dobot robot.
Best of all, it’s completely open source and uses Intel’s OpenVINO toolkit in the backend. You’re free to build on top of the sample app and leverage any code snippets you want from the kit. Anomalib is the main library that enables unsupervised anomaly detection here, and it’s also open source. With this combination, this defect detection kit can handle imbalanced datasets and account for rare or unknown defects that supervised learning cannot.
Beyond manufacturing, this solution can be applied across multiple industries, including healthcare, agriculture, and beyond. At its core, this kit is a starting point that melds computer vision, object detection, defect detection, and a touch of robotics as inspiration for your custom solutions. If you want to see how training, testing, optimization, and deployment ultimately look in a real-world scenario, check this kit out. You’ll detect defects faster and more accurately while improving security and efficiency.
The above post was sponsored by Intel. OpenCV thanks Intel for their support.
This Morning: Popular Vote Winning Project of OpenCV AI Competition 2023
This morning at 9am, OpenCV Live! invites the winners of OpenCV AI Competition 2023's Popular Vote, chosen by you in the community! See how this National University of Technology team built their project and ask your questions in the live chat.
Date & Time: February 22nd, 9am (Pacific Timezone)
领英推荐
Topic: Opti Sentinel- OpenCV AI Competition 2023 Popular Vote Winner
Duration: 1 Hour
Watch along for your chance to win a free OpenCV Course during our live trivia segment, and participate in the live Q&A session with questions from the audience.
Other ways to watch this Thursday:
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Cheers,
– The OpenCV Team
Interim Unit Manager, AGE, School of Public Health, Imperial College
1 年That’s the whole premise of democracy. Yes it’s dangerous but it’s still the least bad system I know of as long as representation is proportional (nothing as undemocratic as first past the post with more than 2 options)
EMEA Customer Solutions Manager @ Amazon Web Services (AWS) | x5 AWS Certified | Cloud Journey, Data Science, GenAI, Software Engineering, Physics
1 年Are popular votes not dangerous where people with more social presence win over people with less besides their contributions?