In this project, I used YOLOv8 for training the model and making the object detection. Further, the dataset was downloaded from Kaggle and train the model on YOLOv8 in Google Colab. After training the best.pt file was downloaded and used for detection, in which I prepared a whole different python Functions to detect the poker hand.

检测视频中学生举手的行为

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In this project I used my own dataset by clicking my own pictures and annotate these images by using MakeSense.com and use YOLOv8 for training and test on Vs Code.

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use CNN for rock-paper-scissors game onReal image process & classification

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Develop a Python-based poker hand detector using YOLO object detection. The project aims to identify and classify poker hands from images or videos, facilitating real-time hand recognition for various applications.

Hand detector using yolo format

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Fine Tuning YoloV8 on a custom dataset for cheating-hand-signs detection.

Real-time hand detection with custom-trained YOLOv11 model

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Yolov3 based hand object detector trained on 100DOH dataset

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A poker hand detector I made for my computer vision module in final year, I created it to detect the current hand of players in a poker game using computer vision.

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【论文改进】YOLO12-A2C2f-CGLU-DYT_手持式吸尘器目标检测模型优化

Poker hands detector build using YOLO with dataset from roboflow, 1-4 players

The YOLO-based repository encompasses projects: Car Counter: People Counter: T PPE Detection: Poker Hand Detector:

Yolo basics with custom model training and projects: i. Car Counter ii. People Counter iii. Personal Protective Equipement Detector iv. Poker Hand Detector

A python and yolo based mobile detector that prevents cheating and mobile usage in classrooms. This model actively monitors students head pose, hand movement and marks a student as safe or suspicious.

This project is a real-time hand sign number recognition system that uses a YOLO-based hand detector and a Keras-based classifier to recognize hand signs from 0 to 9 in a live video feed and perform specific actions such as pressing a key or creating a text file based on the detected number.