THE OPERATING SYSTEM OF AI
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How to Build Great Computer Vision Datasets in 2023 | Best Practices
In today’s article we will explain you how to create amazing computer vision datasets for your specific task. We will share with you all the best practices that you should follow, so that you can train a great AI model.
Introducing 🤙🏻 Easy YOLOV7 ⚡️| The Best Object Detector in Just 10 Lines of Code
In today’s article we take a look at our new repository called Easy YOLOv7, which provides an easy way to use the YOLOv7 algorithm for object detection, in just 10 lines of code!
Real-time Object Detection + OCR using YOLO v7 in Google Colab Free GPU (ANPR / ALPR Tutorial 2023)
Take the outputs of an Object Detection model such as YOLOv7 and pass them through a state-of-the-art transformer-based OCR model to read them in real-time with a free GPU from Google Colab.
How to Train YOLO v7 on a Custom Dataset for Structural Damage Detection in Critical Infrastructure using Drones
This model could be used inside a drone that flies around critical infrastructure and detects structural damages in real-time and notifies the team responsible to go fix it as soon as possible before the structure falls down.
How to Train YOLO v7 on a Custom Dataset for Gun Detection in Security Cameras (Python Tutorial 2023)
One of the unfortunate truths of the world is that thousands of people are shot to death each year. Could we use the power of Computer Vision to solve this problem?
How to Train YOLO v7 on a Custom Dataset for License Plate Recognition in Python (ANPR / ALPR Tutorial 2023)
Build a computer vision model that automatically detects the position and size of all the license plates within an image or video and reads them using Optical Character Recognition (OCR).
Cash Counting App using React Native and Computer Vision (YOLO v7 Tutorial 2023)
Have you ever wondered how to make a cash counting machine?
Well, we at Theos AI certainly have. Join us today in our fantastic journey of creating a simple Cash Counting App with React Native and Computer Vision.
Introduction to Machine Learning (Ultimate Guide 2023)
Machine Learning (ML) is a subfield of Artificial Intelligence that provides computers the ability to learn from massive amounts of data in order to perform cognitive tasks like Computer Vision, Natural Language Processing, Speech Recognition and Synthesis, and many more.
How to Label Images for Object Detection (Free Guide 2023)
Labeling data for training a robust and production-ready machine learning model is a time-consuming process, but the more dedication you put into it, the more accurate your AI model will be, and the better it will perform in real world situations.
How Many Images Do I Need for My Computer Vision Model? (2023 Guide)
As with all in life, it depends. A computer vision model can work very well with just 100 images, 1000 images or 1 million images. It depends on the nature of your data and the level of accuracy you need to achieve.
YOLOv3 Real-time Object Detection (Review 2023)
YOLOv3 (You Only Look Once, Version 3) is a real-time object detection algorithm that identifies specific objects in videos, live feeds, or images. YOLO uses features learned by a deep convolutional neural network to detect objects.
Introduction to Computer Vision (Ultimate Guide 2023)
Computer vision is one of the most important subfields of artificial intelligence and machine learning, given its wide variety of applications and tremendous potential. It aims to replicate the powerful capabilities of human vision.
What is Artificial Intelligence? (Introduction 2023)
If we manage to recreate the human brain, it would be the last invention we will ever have to make. If we solve this problem, we indirectly solve everything else.