Vehicle counting and tracking at intersection modules and ReID pipeline with object detection - > image cropping -> object in cropped image re-identification in another image
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Updated
May 24, 2024 - Jupyter Notebook
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.
Guide for setting up a virtual environment and kernel for Python image processing. Practical exercises cover face recognition, shapes detection, vehicle identification, face detection, and vehicle number plate detection in a Jupiter Notebook. Purpose: Hands-on experience with essential computer vision techniques.
SARKINkofa is a Vehicle & Number Plate Recognition System that is built to detect and recognize vehicles and their number plates.
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