GitHub

Automatic Object Counting Using Image Processing

This project implements a fully classical image-processing pipeline for automatically counting objects (such as buttons and small industrial components) in digital images. The system uses no machine ...
GitHub

bcolmey/Anomaly-Detection-with-Deep-Learning-and-OpenCV

A Python script for anomaly detection in the mvtec image data set, making use of PyTorch for deep learning and OpenCV - bcolmey/Anomaly-Detection-with-Deep-Learning-and-OpenCV ...
Frontiers

An efficient hybrid CNN–transformer framework for real-time weapon detection and face recognition

This enables the synchronous execution of weapon detection and face recognition using one efficient framework. The experiments using existing benchmark datasets validate the performance, achieving ...
Frontiers

Detection of leaf miner in sweet potato crops through image analysis using machine learning-based models

The objective of the present study was to automate the detection of this pest through image analysis using deep learning models. Methodologically, the dataset “camote_minador” was constructed and ...