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Demonstration of different algorithms and operations on faces. Star the repo⭐
Semantic Graph Representation Learning for Handwritten Mathematical Expression Recognition (ICDAR 2023)
It is an Integrated Solution that allows you to have thorough attendance review and eliminate duplicate data entry and errors in time and attendance entries. This application is user-friendly and flexible which helps you to track the attendance of the students effectively.
Live Human Activity recognition using Tensorflow transfer learning model, OpenCV and numpy with a custom Dataset by scraping the web.
This project was my final Bachelor's degree thesis. In it I decided to mix my passion, music, and the syllabus that I liked the most in my degree, deep learning.
The C++ neural network for handwritten digit recognition with online demo
It's an app built in Flutter that allows you to recognize the kana (hiragana and katakana) drawn in the app.
Object recognition by random binary data lookup for Fashion MNIST
Object recognition by random binary data lookup proof of concept for Fashion MNIST
Object recognition by random binary data lookup for Oracle MNIST
Object recognition by random binary data lookup for QMNIST
The goal is to recognize fruit through machine learning algorithm implementations such as K-NN algorithm or K-Mean algorithm.
A Real Time Kurdish handwriting Language Number Recognition Model Using Deep Learning (AlexNet) over used website
Created an ASR (Automatic Speech Recognition) system that takes in individual recordings. Each recording represents a sentence composed of 5-10 English language digits, separated by adequate pauses. The system involves segmenting the sentence using a classifier, differentiating between background and foreground sounds.
Below are the prerequisites for this project: Python (3.7.4 used) IDE (Jupyter used) Required frameworks are Numpy (version 1.16.5) cv2 (openCV) (version 3.4.2) Keras (version 2.3.1) Tensorflow (Keras uses TensorFlow in backend and for some image preprocessing) (version 2.0.0) Matplotlib (version 3.1.1) Pandas (version 0.25.1)
Work area recognition for small robots. Computer Vision Research Internship. TUAT, Japan.
Object recognition by random binary data lookup proof of concept for QMNIST
Esse projeto utiliza uma API de reconhecimento de voz para gerar interatividade com o usuário que deve acertar o nome da cor sorteada pelo sistema. Projeto ainda em processo de construção.
Esse jogo utiliza uma Api de reconhecimento de voz para gerar interatividade com o usuário que deve acertar um numero aleatório sorteado pelo sistema. Jogo feito por Vinícius Dias Rodrigues