A comprehensive solution for detecting and tracking vehicle trajectories using YOLO, Kalman Filter, and the Hungarian Algorithm. Includes a Flask web application for easy video upload and processing.

This repository is used for detecting vehicles both during the day and at night

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

Vehicle counting/tracking and speed estimation

🌟 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.

This repository implements and evaluates the performance of 11 pre-trained deep convolutional neural network (CNN) models on 6 benchmark vehicle classification datasets

Car Attribute Analysis using YOLOv8 + PaddleCls + ColorDetection

Main Project Repository

Vehicles and plate detection and tracking with string plate recognition.

🚀 딥러닝 기반 차량번호 인식 엔진

Vehicle Tracking and Counting using Yolo and ByteTrack

10000-Image-caption-data-of-vehicles

2002-People-Electric-Bicycle-Entering-Elevator-Data

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

🚗 DinjanAI's Vehicle In/Out Detection & Count Project utilizes AI, ML, and DL to accurately track and count vehicles entering and exiting designated areas in real-time. Ideal for parking lots, intersections, and toll booths, it offers seamless integration and customizable configurations. 🛣️👀

600000-Images-Vehicle-Re-ID-Data-in-Surveillance-Scenes

89747-Images-Vehicle-Attributes-Annotation-Data

37049-Images-Engineering-Vehicle-Data

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

Performed object detection using FasterRCNN with different backbones on three vehicle types.