Computer Vision and Deep Learning
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Updated
Jul 31, 2024 - Python
Computer Vision and Deep Learning
real_time people counting in a fixed box
Object Detection and Counting in Videos using Yolov8. Includes training for new objects.
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
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.
Automated cell detection from tissue images using Machine Learning.
algorithms implementation for extremely overlapping vehicle counting in traffic congestion situations
A simple tool for object counting annotation.
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.
Software for counting objects from drones
Object counting algorithm from image developed with python that does not use neural network
fast visual object counting via example-based density estimation
Code to count the number of objects detected using the picamera on the raspberry pi 3.
It counts and classify objects in a video and saves the results to a csv file.
🚗 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. 🛣️👀
FishTally
The objective is to count the plates using object detection and object tracking.
Object Detection, Counting and Tracking Using YoloV8 with Supervision ByteTrack and LineZone Counter.
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