Search Results for "face recognition using java" - Page 4

This project is an attempt to solve issues we face while using hibernate.Currently solving these four problems: 1)Updating object delete null data. 2)Projection returns list of object[] instead of pojo. 3)Don't write HQL 4)Paging logic rewrit

A handwritten number recognition system was developed by using image processing and neural network technique. The system was developed in Java. Other applications which make use of image processing and neural network technique will be published too.

JEquation provides an intuitive and fast way to input mathematical expressions into latex documents by using prestructured neural network based handwriting recognition.

The OpenCV DLLCapture project goal is to provide an easy way for using the Intel OpenCV library face recognition feature within custom built applications.

The Human Body Project allows computers to better understand and interact with people. Using a webcam the system can detect and recognise individuals (face recognition), identify their gaze direction, facial expressions and upper body postures.

Mouse Gestures is an open source (LGPL) pure Java library for recognition and processing mouse gestures. With Mouse Gestures you have a fast way to execute commands without using the keyboard, menus or toolbars. Compatible with JDK1.3, JDK1.4 and JDK1.5.

xmillum is a framework for visualizing document recognition results and for creating interactive document recognition applications. It can be freely extended using Java plugins.

...It achieves a WER of 11.3% (or 9.01% with LM) on Common Voice test data, demonstrating high accuracy for a single-language ASR model. Inference can be done using HuggingSound or via a custom PyTorch script using Hugging Face Transformers and Librosa. Training scripts and evaluation methods are open source and available on GitHub. It is released under the Apache 2.0 license and intended for ASR tasks in Brazilian Portuguese.

wav2vec2-large-xlsr-53-russian is a fine-tuned automatic speech recognition (ASR) model based on Facebook’s wav2vec2-large-xlsr-53 and optimized for Russian. It was trained using Mozilla’s Common Voice 6.1 and CSS10 datasets to recognize Russian speech with high accuracy. The model operates best with audio sampled at 16kHz and can transcribe Russian speech directly without a language model. It achieves a Word Error Rate (WER) of 13.3% and Character Error Rate (CER) of 2.88% on the Common Voice test set, with even better results when used with a language model. ...

Welcome to Multimodal Unmanned Aerial Vehicle Controller (MMAR) This project intends to develop a multimodal interface which gives a human operator capability of controlling a QuadRotor UAV efficiently and more easily. During this project we use a simulated QuadRotor called AirRobot in a simulation environment for development of robots, USARSim. There are some aspects involved in this project including touch, pose tracking, gesture recognition, voice recognition, etc and we try to utilize...

Bio_ClinicalBERT is a domain-specific language model tailored for clinical natural language processing (NLP), extending BioBERT with additional training on clinical notes. It was initialized from BioBERT-Base v1.0 and further pre-trained on all clinical notes from the MIMIC-III database (~880M words), which includes ICU patient records. The training focused on improving performance in tasks like named entity recognition and natural language inference within the healthcare domain. Notes were...