Detection
Artificial Intelligence
Enhanced Object Detection: How To Effectively Implement YOLOv8 Introduction Installation Image Detection Video Detection Live Detection Conclusion
A practical guide to object detection in images, videos, and real-time webcam feed using each CLI and PythonImpressive! Despite the slightly low video quality and poor lighting conditions, it still captures the objects pretty...
Artificial Intelligence
Face-Mask Detection using SVM — Intel oneAPI Optimised Scikit-Learn Library An easy explanation of how SVM works: Prerequisites: Installation of scikit-learn-intelex library: Dataset: Importing the Dataset and Converting it...
This model may also be implemented right into a computer vision model which may detect masks on a face in real-time.This project was showcased by (Myself) at organized by in partnership with , ,...
Artificial Intelligence
Detecting data drift to observe ML models in production (using Evidently library in Python) What’s data drift and why should we detect that ? Tips on...
Data drift occurs when the statistical properties of the input data change over time, resulting in a shift in the info distribution.Note:With default logic, z test is used for goal and KS test is...
Artificial Intelligence
Outlier Detection Using Distribution Fitting in Univariate Datasets
Learn detect outliers using Probability Density Functions for fast and light-weight models and explainable results.
Artificial Intelligence
Brain Tumor Detection Web Application using Transfer Learning: An End-To-End Project Introduction
Are you thinking about developing an online application to detect brain tumors using transfer learning CNN architectures? If yes, you then are in the proper place! On this tutorial, we'll offer you step-by-step instructions...
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