How to create your own custom object detection model.
Leong Kwok Hing
Object detection
Enhance your computer vision projects with advanced object detection techniques. Discover how to achieve accurate results and improve the performance of your models.
![Machine learning is a subset of artificial intelligence where statistical methods are used to help a computer improve at a task with training and experience. Object Detection and Tracking in Machine Learning are widely used in Computer Vision. We can also deploy this Technology on the cloud with the help of various cloud vendors like Microsoft Azure. This topic is covered in [AI-900] Microsoft Certified Azure AI Fundamentals Course. Data Annotation, Object Detection, Data Quality, Open Source Projects, Learning Projects, Computer Vision, Multi Step, Traffic Light, Machine Learning Models](https://cdn.statically.io/img/i.pinimg.com/474x/4f/98/dd/4f98dd8c6fc13524912280c7e276afeb.jpg)
Machine learning is a subset of artificial intelligence where statistical methods are used to help a computer improve at a task with training and experience. Object Detection and Tracking in Machine Learning are widely used in Computer Vision. We can also deploy this Technology on the cloud with the help of various cloud vendors like Microsoft Azure. This topic is covered in [AI-900] Microsoft Certified Azure AI Fundamentals Course.
Asha Singh
Labeling transforming and structuring training data sets for machine learning
Oleg Kramarenko
In this article, I will present how I managed to use Tensorflow Object-detection API in a Docker container to perform both real-time (webcam) and video post-processing. I used OpenCV with python3…
Claudia
Object detection is seeing a boom in the machine learning space in recent times. Learn how to build object detection models from scratch in Python.
Kevin O'Connell
This is a two-part article. Here in the first part, we’ll cover the basics of image segmentation, a brief overview of the process and understand why do we use image segmentation. In the second part…
Sam Kirubakar
These days, machine learning and computer vision are all the craze. We’ve all seen the news about self-driving cars and facial recognition and probably imagined how cool it’d be to build our own…
Oleg Kramarenko
Feature Enhancement Network for Object Detection in Optical Remote Sensing Images | Journal of Remote Sensing
Automatic and robust object detection in remote sensing images is of vital significance in real-world applications such as land resource management and disaster rescue. However, poor performance arises when the state-of-the-art natural image detection ...
ltzanders
Read here what is the importance of image annotation in AI and ML with examples where this data labeling process is used for computer vision
flora fauna
Alexey Zinoviev presented the webinar “Object Detection and Image Recognition with Kotlin,” where he explored a deep learning library written in Kotlin, described how to detect objects of different types in images, and explained how to create a Kotlin Web Application using Ktor and KotlinDL that recognizes cars and persons on photos. He has decided there is more that he would like to share with you on the subject, and so here is an extended article.
Motenay