🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT

:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

Vehicle Detection, Tracking and Counting

This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation

Hobby project to track vehicles that are over speeding and violating red light

Vehicle Detection Using Deep Learning and YOLO Algorithm

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

Vehicle detection, tracking and counting by blob detection with OpenCV on c++.

Vehicle counting using Pytorch

Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.

According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.

YOLOv8 Object Tracking and Counting using PyTorch, OpenCV and DeepSORT, deployed on Streamlit.

detect the no of people every second entering building gate. #person-detection

A project for counting vehicles using YOLOv4 + DeepSORT + Flask + Ngrok + TF2

Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.

ODAM - Object detection and Monitoring

Project on Vehicle Detection, Classification, and Counting. Done in python using OpenCV.

A computer vision and artificial intelligence project to detect and counting vehicles. This project is using YOLOV5 and Deep Sort Algorithm to perform object recognition and tracking realtime.

Vehicle detection, tracking, counting and speed prediction on videos with OpenCV.

Zero-VIRUS: Zero-shot VehIcle Route Understanding System for Intelligent Transportation (CVPR 2020 AI City Challenge Track 1)

Traffic analysis using YOLOv4 and OpenCV

Vehicle Tracking and Counting using Yolo and ByteTrack

Building a small demo system to detect and count vehicle using Streamlit framework

YoLo is a CNN architecture which specialize in object detection. I am using tutorial from https://www.pyimagesearch.com/2018/11/12/yolo-object-detection-with-opencv/ to develop my own modification. This project aims to count every vehicle(motorcycle, bus, car, cycle, truck) detected in the input image/video.

Vehicle counter using python opencv and dlib

Video/Image processing project using Blob Detection.

The goal of the project is to classify the vehicles, count their frequency, track them using unique ID and provide safety measures to the users by flagging the suspicious ones.

Advanced Vehicle Tracking and Detection System using ByteTrack, Supervision, and YOLO Algorithms

This repository contains the code for an IoT Traffic Surveillance System using a fog-computing architecture. The system uses an adaptive video encoding algorithm that switches the video encoding at specific intervals to reduce the required network bandwidth.