A simple tool for object counting annotation.

Some notes from various research papers

CounTR applied on FITS Images for the task of Object Counting

Object counting algorithm from image developed with python that does not use neural network

video-based object counting software for tallying pretty much anything

The Python Flask server publishes the processed video which detects and counts the people frame by frame with Yolo Model.

Computer Vision and Deep Learning

real_time people counting in a fixed box

🚗 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. 🛣️👀

simple python program that counts objects in an image file

Project made to identify and count objects in a polygon without using high CPU/GPU usage techniques and algorithms and Deep Learning methods.

Counting number of Objects using Python-OpenCV

Software for counting objects from drones

The objective is to count the plates using object detection and object tracking.

This repository provides Computer Vision-based Vehicle Counting, an intelligent system created using Python-based computer vision techniques. The project leverages YOLOv8 for accurate vehicle detection and Sort for tracking. By integrating deep learning principles, the system can identify and count vehicles within a specified environment. Developme

Automated cell detection from tissue images using Machine Learning.

Project page for "OmniCount: Multi-label Object Counting with Semantic-Geometric Priors"

Developed a comprehensive object detection and tracking project using YOLOv8 and the SORT algorithm for real-time tracking. Implemented both procedural and OOP approaches for maintainable code. Features include real-time detection, counting detected objects, and various output formats, with well-documented scripts for easy modification.

algorithms implementation for extremely overlapping vehicle counting in traffic congestion situations