We’re excited to announce a different type of competition than we’ve done in the past: The Perception Challenge For Bin-Picking, sponsored by Intrinsic, a new computer vision themed competition designed to tackle real-world robotics problems. This is your opportunity to compete and showcase your skills to a global audience, all while competing for a share […]
Deep Learning vs Machine Learning: The Ultimate AI Subfields Showdown
Introduction One field that has seen a boom in recent times is Artificial Intelligence. By leveraging Artificial Intelligence tech, machines can accomplish a ton of tasks, ranging from applying snap filters to your pictures to self-driving cars. Two other terms that are used interchangeably and frequently with Artificial Intelligence are Machine Learning and Deep Learning. […]
OpenCV Spatial AI Contest Highlights and Team Profiles – Part 2
The OpenCV Spatial AI Contest, where 50 teams are building LEGO-based versions of industrial manufacturing solutions with the artificial intelligence power of OpenCV AI Kit, is in full-swing as teams work on their projects with an eye toward the April 4th build deadline. In this post we’ll cover some of the recent highlights on social […]
OpenCV Spatial AI Contest Highlights and Team Profiles – Part 1
The OpenCV Spatial AI Contest, where 50 teams are building LEGO-based versions of industrial manufacturing solutions with the artificial intelligence power of OpenCV AI Kit, is in full-swing as teams work on their projects with an eye toward the April 1st build deadline. In this post we’ll cover some of the recent highlights on social […]
Announcing the Finalists of OpenCV Spatial AI Contest Sponsored by Intel and Microsoft Azure
After carefully considering the over 120 submissions, the judges have selected the Finalists of OpenCV Spatial AI Contest. These 50 exceptional teams are made up of over 100 developers, and come from countries around the world. Entries were submitted by teams coming from universities, research organizations, and even high schools. Soon we’ll begin shipping OAK-D-LITE […]
Introduction to the COCO Dataset
With applications such as object detection, segmentation, and captioning, the COCO dataset is widely understood by state-of-the-art neural networks. Its versatility and multi-purpose scene variation serve best to train a computer vision model and benchmark its performance. In this post, we will dive deeper into COCO fundamentals, covering the following: What is COCO? The Common Object in […]
7 Key Considerations to Develop a Scalable Annotation Pipeline
Whether for medical imaging, autonomous driving, agriculture automation, or robotics, scaling a computer vision (CV) project is tough and takes tons of micromanaging, tracking, and analysis for the best results. The data is usually annotated in batches because of the volume and multiplicity of iterations needed along the way. The batches undergo several revisions for […]
