GitHub / deepankarvarma / American-Sign-Language-MultiClass-Image-Classification-OpenCV-Keras-TensorFlow
This repository contains Python code for a project that performs American Sign Language (ASL) detection using multiclass classification. It utilizes YOLO (You Only Look Once) and MobileNetSSD_deploy for object detection, achieving an accuracy of 91%. The code offers options to predict signs from both images and videos.
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PURL: pkg:github/deepankarvarma/American-Sign-Language-MultiClass-Image-Classification-OpenCV-Keras-TensorFlow
Stars: 2
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 42.5 MB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: about 1 year ago
Pushed at: about 2 years ago
Last synced at: about 1 year ago
Topics: american-sign-language, artificial-intelligence, computer-vision, dataset, deep-learning, image-augmentation-preprocessing, image-classification, image-processing, machine-learning, mobilenet-ssd, multiclass-image-classification, python, yolo, yolov3
Funding Links https://github.com/sponsors/deepankarvarma