Video Triage Personal

A simple Web AI model deployment tool using JavaScript based on OpenCV.js and ONNXRuntime

Patima is an AI based app that is aimed to inpaint Buddha Statues which are remaining headless. Generative AI combined with Object detections and segmentation are expected to use here. ***Currently, under construction.

A Unified Remote Sensing Object Detector Based on Fourier Contour Parametric Learning

Pytorch implementation of the 'Slim-neck by GSConv: a lightweight-design for real-time detector architectures'

👁️ OmniView is an advanced video viewing and recording application that offers a range of features including real-time object detection and screenshot capturing. This project uses the OpenCV library for camera connection and video processing, ensuring smooth and high-quality video streams

Create a machine-learning algorithm that counts the number of grass-thatch, tin and other roofed houses in aerial (drone) imagery.

A real-time face and object detection with gender classification and virtual glasses overlay.

Neural architecture search for object detectors using non dominated sorting genetic algorithm and surrogate optimization

Cynical commentator of video material

🚀 ⭐ The list of the most popular YOLO algorithms - awesome YOLO

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

This repository demonstrates how to use YOLOv5 for object detection on a custom dataset. It includes scripts and instructions for preparing the dataset, training the model, and evaluating its performance.

Object Detection model using Yolov8

🔍📸🌐 VisualAIProjects: Repository for cutting-edge computer vision and Visual AI projects! Explore 🌟advanced algorithms and models🌟 for image recognition, object detection, segmentation, and synthesis. 🚀🔓 Join us in the captivating world of computer vision and unlock the full potential of Visual AI! 🌍💡

Build tool and notebooks to create the Yolov7 App for the Teknoir Platform.

A paper list of object detection using deep learning.

Automated Drowning Detection: A repository showcasing a deep learning-based solution using YOLO v8 architecture for swift and accurate identification of drowning instances in aquatic environments. Enhanced accuracy through meticulous fine-tuning and integrated methodologies. Empowering drowning incident response systems for improved efficiency.

This project focuses on optimizing overpass detection using YOLOv8. It involves training the model with a custom dataset created from synchronized dashcam footage and GPS data. The objective is to refine the model's accuracy in identifying overpasses, enabling precise determination of vehicle location and timing during these instances.