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.

DJI Tello drone with YOLO object detection

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

Object Detection model using Yolov8

Cynical commentator of video material

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

🔍📸🌐 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.

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.

A paper list of object detection using deep learning.

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.

Real-time object detection and tracking for autonomous driving.

Official implementation of "Resilience of Autonomous Vehicle Object Category Detections to Universal Adversarial Perturbations"

Public page for open vocabulary detection contest 2023

This repository provides a Python implementation of Selective Search for object detection. It includes code for segmenting an image using the Felzenszwalb method, extracting candidate regions for object detection, and visualizing these regions.

A Streamlit-based application for detecting helmets, bikes, and recognizing number plates in a video stream. It uses the YOLOv3 object detection model for detecting bikes and helmets and a CNN model for helmet detection. Additionally, it recognizes number plates in real-time video.

traffic-lights-detection-and-color-recognition-using-yolov8

An app for handwritten digit detection

Our Automatic License Plate Recognition (ALPR) system is built using state-of-the-art methodologies and techniques to provide the optimal speed/accuracy trade-off at each level. Images of vehicles and Moroccan and European LPs were used to train the neural networks.