🚀 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!

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

YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT

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

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

Vehicle counting using Pytorch

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

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

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

实时车辆行人交通流计数Real-time Vehicle and Pedestrian Counting (CenterNet)

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

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.