Automate the creation of a lab environment complete with security tooling and logging best practices

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Quantum Insert

Welcome to the SEKOIA.IO Community repository!

Valencia Region Image Bank (BIMCV) that combines data from the PadChest dataset with future datasets based on COVID-19 pathology to provide the open scientific community with data of clinical-scientific value that helps early detection of COVID-19

A simple way for detection the remote user's antivirus

多传感器融合（lidar radar camera）

Detecting contamination in NGS data and multi-species analysis

FPGA accelerated TinyYOLO v2 object detection neural network

Online resources related to Detection Engineering. Detection rules, detection logic, attack samples, detection tests and emulation tools, logging configuration and best practices, event log references, resources, labs, data manipulation online tools, blogs, newsletters, good reads, books, trainings, podcasts, videos and twitter/x accounts.

JSE Captcha UI - built with SVELTE

This Antivirus is design to scan the PE Files (EXEs and DLLs) and show whether the file is malicious or benign. 5 models are used and best one is used automatically for detection.

Side Car Detection,Car Detection,Face Detection,Object Detection

A Multilayer Backpropagation Saliency Detection Algorithm Based on Depth Mining

Aerobics with your camera. Easy, fast and free.

Wildfire smoke detection with Faster R-CNN via Pytorch 🔥🚒🧑‍🚒

Real time Object detection: object detection system to enhance pedestrian safety and assist visually impaired individuals in navigating urban environments through real-time obstacle detection and alerts.

This project is a comprehensive Flask-based application designed to help farmers and agricultural enthusiasts identify crop diseases and enhance productivity. It includes an intelligent chatbot, crop disease detection using machine learning models, and an admin portal for adding new models.

Welcome to the Fruit Ripeness and Disease Detection System! This application utilizes advanced YOLOV8 models to detect various fruits and diagnose diseases in bananas, mangoes, and pomegranates. Built with Flask, the web application allows users to either upload images for analysis or use a live video feed for real-time detection.