🚀 딥러닝 기반 차량번호 인식 엔진

Vehicle counting/tracking and speed estimation

Vehicle to Infrastructure- ESP32 controlled smart traffic light and vehicle obstacle avoidance system.

MRTMD is a comprehensive dataset for evaluating traffic monitoring models. It contains 3733 images with 70,506 annotated objects, mainly vehicles, across various resolutions (4K, 2K, 1080p, 720p, 640p, 360p). It enables performance assessment across different image qualities and includes labels for visible license plates.

B.Tech Final Year Main Project Repository

Vehicle counting and tracking at intersection modules and ReID pipeline with object detection - > image cropping -> object in cropped image re-identification in another image

Detects Swedish vehicles and displays the owner's name using YOLO and license plate recognition.

🌟 This repository houses a collection of image classification models for various purposes, including vehicle, object, animal, and flower classification. Each classifier is built using deep learning techniques and pre-trained models to accurately identify and categorize images based on their respective classes.

An AI based traffic management system with real-time monitoring

Vehicles and plate detection and tracking with string plate recognition.

This app detects types of cars and counts cars using YOLOv3

MRTMD is a comprehensive dataset for evaluating traffic monitoring models. It contains 3733 images with 70,506 annotated objects, mainly vehicles, across various resolutions (4K, 2K, 1080p, 720p, 640p, 360p). It enables performance assessment across different image qualities and includes labels for visible license plates.

IEEE Transactions on Intelligent Transportation Systems (TITS), 2019

VFM-Det: Towards High-Performance Vehicle Detection via Large Foundation Models

This is one of the best vehicle recognition applications. It can determine the car's license plate number, color, model, brand and year.

Training Yolov8 on custom dataset for vehicle and traffic sign detection

Video Vehicle Segmentation project made with META's Segment Anything Model 2 (SAM2)

760607-Images-Vehicles-Detection-Data-in-Surveillance-Scenes

37049-Images-Engineering-Vehicle-Data

89747-Images-Vehicle-Attributes-Annotation-Data