Поиск выбоин на дорогах с использованием YOLOv8 Nano

Clasificación de imágenes y reconocimiento de objetos mediante la red neuronal convolucional CNN DenseNet y EfficientNet con el modelo frozen model y el framework Coffe. Posteriomente, mediante la red neuronal convolucional CNN MobileNet-SSD y YOLO con el framework TensorFlow

PCBQualityControl uses the latest segmentation models to solve this problem of void detection. This solution trained Yolov8 on the target to automatically select (bounding box). SAM then uses the output of YOLO to segment the image, exposing the void and component areas. A quality control report is generated based on the voids to components ratio.

Count entering and exiting people using YOLOv8 , opencv

Project involving the development of a Flask application, which utilizes a YOLOv8 model trained on a distinct Kaggle weather classification dataset, thereby enabling the classification of weather conditions from user-provided images

Realtime object detection robot using yolo 8vn that says "human detected" on detecting human and an arduino based object avoiding robot on which the phone camera is setup that transfers the video using ip webcam app to laptop that runs this yolo code

Object detection on Custom Dataset using YOLOv8. The dataset has been created by me.

Use an image classifier to predict audio file labels.

The Verifier DApp is an application that generates and trades verified carbon credits, using blockchain technology, IoT, and AI to process images of trees and analyze environmental data, aiding in the quantification of forest biomass and the generation of carbon credits.

This project is part of my master's thesis at the IU International University of Applied Sciences

Smart fan that recognize human & adjust it's angle via detection

A car counter application that detects, tracks and counts cars crossing a "red" line.

In computer vision, this project meticulously constructs a dataset for precise 'Shoe' tracking using YOLOv8 models. Emphasizing detailed data organization, advanced training, and nuanced evaluation, it provides comprehensive insights. A final project for the Computer Vision cousre on Ottawa Master's in (2023).

Amazing Object Tracking

TagSafe: ML Model to detect License plate of vehicle ( ANPR + EasyOCR + Flask )

This repository is for German Traffic Sign Detection using Ultralytics YOLOv8

Welcome to the YOLOv8 Human Detection Beginner's Repository – your entry point into the exciting world of object detection! This repository is tailored for beginners, providing a straightforward implementation of YOLOv8 for human detection in images and videos.

This repository contains a car detection and tracking software implemented using YOLOv8 for object recognition and classification, along with DeepSORT for tracking. The model is capable of detecting cars, buses, trucks, and trains in real-time video streams. This model combines state-of-the-art object detection and tracking techniques.

An example of using OpenCV dnn module with YOLOv8. (ObjectDetection, Segmentation, Classification, PoseEstimation)

This repository contains a Python script for object counting using the YOLO (You Only Look Once) object detection model implemented in the ultralytics library along with OpenCV.