Tensorrt codebase to inference in c++ for all major neural arch using onnx
Centralized Disaster Response and Inventory Management System that leverages AI and Google Cloud Technologies to predict disasters, optimize resource management, and provide real-time coordination.
YOLO-Based Real-Time Object Detection for Autonomous Driving in CARLA
Utilize YoloV8 for object detection of copper ore in Albion Online game with farming capabilities.
Custom Model Deployment on Raspberry Pi5 Hailo-8L AI kit with Colab and Google Cloud Platform. No local x86 of NVIDIA GPU needed.
This repository is a collection of Python scripts and Jupyter notebooks for understanding the performance improvement in image classification, object detection and instance segmentation with OpenVINO. It also contains reference implementations of dwell time analytics, ALPR and polyp detection.
Apple Detection (Fresh / Stale) With YOLOv8 and Flask
An attempt to create a "Red Light, Green Light" robot inspired by Squid Game TV series, using AI for player recognition and tracking on Raspberry Pi 5 + animated doll and shooter using ESP32.
🖐️ Streamlit app with MediaPipe and Ultralytics YOLOv8 hand gesture recognition (HGR) demos using custom trained models.
This project is a production-ready YOLOv8n Computer Vision model for industrial egg fertility sorting with aws implementation plans including cost reporting.
Project coding with Open Neural Network Exchange ( ONNX )
Custom YOLOv8 model for detecting and classifying car body damage—optimized for fast inference and assistive use in inspection and service workflows like BMW pre-loaner inspections.
Arquivos e códigos usado para o desenvolvimento do projeto de C209 do laboratório
InsightQC is an innovative quality control solution designed for the additive manufacturing industry, focusing on defect detection and maintenance scheduling using machine learning and computer vision technologies. The platform helps detect surface defects, predict maintenance needs, and streamline the quality control process.
MECHA AI is a versatile image and file editing platform built with Flask, React, Vite, Tailwind, and machine learning technologies. It combines powerful tools for transforming and enhancing images with seamless file management, providing a user-friendly and efficient editing experience.
This repository contains my work on Detection and Segmentation using YOLOv8.
Deteksi objek pria & wanita menggunakan YOLOv8 dengan Python
Explore ear-based person recognition using combined deep models. The system developed should be based on ear detection employing the YOLOv8 model and recognition using a Siamese model, enabling person recognition using a single ear image. Several different Siamese models should be evaluated, and the effectiveness of this approach
Add a description, image, and links to the yolov8-detection topic page so that developers can more easily learn about it.
To associate your repository with the yolov8-detection topic, visit your repo's landing page and select "manage topics."