Suara Tangan adalah aplikasi berbasis website yang bertujuan untuk mengenalkan bahasa isyarat kepada masyarakat luas
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Updated
Mar 30, 2024 - JavaScript
Suara Tangan adalah aplikasi berbasis website yang bertujuan untuk mengenalkan bahasa isyarat kepada masyarakat luas
The objective of this project is to classify the BISINDO (Bahasa Isyarat Indonesia) alphabet in real-time using hand landmarks detection and machine learning.
The dataset contains 20 photos per character (A-Z), totaling 520 photos, captured with a smartphone and processed using Python OpenCV.
Patuli Machine Learning Repository
BISINDO Sign Language Detector using Open CV and MediaPipe
BISINDO-GestureNet is a deep learning project for recognizing BISINDO alphabet gestures (Indonesian Sign Language letters) from images. The project uses Convolutional Neural Networks (CNNs) with Transfer Learning (MobileNetV2, EfficientNetB0, or VGG16) to achieve high accuracy on a small dataset.
konten dari situs bahasa.isyarat.id yang dibuat dengan Static Site Generator, saat ini menggunakan Pelican.
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