The dataset contains 20 photos per character (A-Z), totaling 520 photos, captured with a smartphone and processed using Python OpenCV.
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Updated
Mar 5, 2025
The dataset contains 20 photos per character (A-Z), totaling 520 photos, captured with a smartphone and processed using Python OpenCV.
The objective of this project is to classify the BISINDO (Bahasa Isyarat Indonesia) alphabet in real-time using hand landmarks detection and machine learning.
Suara Tangan adalah aplikasi berbasis website yang bertujuan untuk mengenalkan bahasa isyarat kepada masyarakat luas
Patuli Machine Learning Repository
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.
BISINDO Sign Language Detector using Open CV and MediaPipe
konten dari situs bahasa.isyarat.id yang dibuat dengan Static Site Generator, saat ini menggunakan Pelican.
Sistem deteksi dan klasifikasi gestur abjad BISINDO (A-Z) secara real-time berbasis Deep Learning dengan keluaran suara.
To associate your repository with the bisindo topic, visit your repo's landing page and select "manage topics."