Computer Vision Counter - is a feature for counting objects on video, mainly aimed at manufacturing enterprises.

CVPR2023 Zero-shot Counting

This work is an extension of the project https://github.com/ablanco1950/LicensePlate_Yolov8_Filters_PaddleOCR adding the possibility to detect the speed, tracking and counting cars

Counting of Human Faces in a Frame

automated techniques that can accurately and efficiently count objects in images, enabling researchers and practitioners to streamline their workflow and extract meaningful insights from visual data.

Counting Sheep without Sleep. This project utilizing YOLO and several image processing techniques to accurately track, count and segment sheep.

Traditional Image Processing Techniques for Nailfold Capillary Detection: A project showcasing a non-ML/DL approach to detect and count nailfold capillaries, emphasizing the application of fundamental image analysis methods in medical diagnostics.

Foot Classification Project and Other Experiments with YOLOv8

This is the project to detect and count the number of cars in video

A computer vision deep learning model to automatically count the number of rebars.

Project I did during 5th semester for course Introduction to image processing (Wprowadzenie do przetwarzania obrazów). Final MARPE was 0.5625%.

An algorithm that uses YoloV5 and DeepSORT to count and measure the number of vehicles in a video stream, it detects the vehicles with YoloV5 and tracks them with DeepSORT to maintain a count of unique vehicles in the video. It also calculates the frames per second (FPS) of the video stream.

Progresive web app counting glasses of water

Evaluating adipocyte differentiation of bone marrow-derived mesenchymal stem cells by a deep learning method for automatic lipid droplet counting

Go application used to walk a Go project and count the legitimate packages, structs, methods and functions.

Counting cars on highways in videos is conducted by using the pre-trained YOLO4 multiple object detection algorithm (which is a deep learning model) with OpenCV and the centroid tracking algorithm.

Counting number of Objects using Python-OpenCV

Sample WPF application presenting in an interactive way essential counting techniques from Combinatorics.

The Counter Algorithm for counting the open-mouth & closed-mouth pistachios from the paper https://doi.org/10.1007/s42044-021-00090-6

annotation environment for object counting