Applying commonly available Machine Learning-driven object detection frameworks to Panoramic images. 3D object detection steps, code and Mathematics behind it. And how to detect vehicles in traffic images, to increase road safety and prevent road accidents. Author:
Read MoreTags: Computer Vision, Image Preprocessing, Object Detection
Introduction to OpenCV, its applications, basics of image processing, Pedestrian Detector, and YOLO detector By Rutuja Kawade In my childhood days, I used to often think about how the photo editing apps came to know where exactly the hair or the lips are p
Read MoreTags: Computer Vision, Object Detection
Wondering what it’s like to work on an Omdena challenge? Are you unsure of how you will be able to contribute? Don’t worry! Just walk through the looking glass (this article 😄) to enter the amazing world of collaboration and learning. By Sneha Bahl
Read MoreBy Thomas Joseph, Marjan Ghobadian Introduction In order to reach the precise classification and location of crop and weeds for smart farming, several methods such as instance and semantic segmentation are applied. The target is to reach not only high accuracy regarding
Read MoreTags: Agriculture, Computer Vision, Image Classification, Object Detection
A team of 31 Omdena collaborators leveraged various AI techniques like object detection to help assess road crash risk at scale. The team applied labeling, object detection, CNNs, and various regression techniques to provide features for road safety estimation on roads
Read MoreTags: Computer Vision, Data Labeling, Data Preparation, Object Detection