Alphabetical Letter Recognition

Last update: Nov 30, 2021

Overview

BayeesNetworks-Image-Classification

Alphabetical Letter Recognition

In these demo we are using "Bayees Networks"

Our database is composed by Learning Images and Test Images.
We are using 2 python files (classes) : first one for the UI end the second one for the processing.
For the UI we worked with : PyQT5.
For the processing we worked with : OpenCV, Sklearn.
Demo :

Owner

Mohammed Firass

Student, MSc Intelligent Systems & Networks

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Alphabetical Letter Recognition

Related tags

Overview

BayeesNetworks-Image-Classification

In these demo we are using "Bayees Networks"

Owner

Mohammed Firass

PaRT: Parallel Learning for Robust and Transparent AI

Multi-Object Tracking in Satellite Videos with Graph-Based Multi-Task Modeling

This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection, built on SECOND.

[ICCV 2021] Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation

Tensorflow implementation of our method: "Triangle Graph Interest Network for Click-through Rate Prediction".

Implementation of the ALPHAMEPOL algorithm, presented in Unsupervised Reinforcement Learning in Multiple Environments.

Running AlphaFold2 (from ColabFold) in Azure Machine Learning

Project page for our ICCV 2021 paper "The Way to my Heart is through Contrastive Learning"

Single/multi view image(s) to voxel reconstruction using a recurrent neural network

Unofficial implementation of Pix2SEQ

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Python script that analyses the given datasets and comes up with the best polynomial regression representation with the smallest polynomial degree possible

This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Code & Experiments for "LILA: Language-Informed Latent Actions" to be presented at the Conference on Robot Learning (CoRL) 2021.

基于tensorflow 2.x的图片识别工具集

Airborne magnetic data of the Osborne Mine and Lightning Creek sill complex, Australia

This is the offical website for paper ''Category-consistent deep network learning for accurate vehicle logo recognition''

This project aims to segment 4 common retinal lesions from Fundus Images.

Source code of article "Towards Toxic and Narcotic Medication Detection with Rotated Object Detector"