物体検出を用いてNARUTOの印(子～亥、壬、合掌)を検出するモデルとサンプルプログラムです。このリポジトリでは、YOLOXを使用しています(This is a model and sample program that detects NARUTO's hand sign using object detection. This repository use YOLOX.)

The dataset contains 20 photos per character (A-Z), totaling 520 photos, captured with a smartphone and processed using Python OpenCV.

can do motion tracking and identify hand signs ......it can also help in detecting alphabets ,

Link two latent layers of CNN autoencoders that can transfer HandSign image to Hand write number image (MNIST)

Real-time Hand Sign detection using TensorFlow Object Detection API

Real Time Hand Signs Recognition using CNN and LSTM Model.

Hand sign recognition using Raspberry Pi 4

Piano Gesture and Hand Sign Recognition with Face Detection is an interactive computer vision project that combines gesture recognition and facial identification into one unified system.

A machine-learning–powered system that recognizes hand signs in real time using computer vision. The project captures hand landmarks from a camera feed, processes them using a trained model, and outputs the interpreted gesture as text or commands.

Dataset for my Naruto Hansign Recognition Project