Oussama Boussaid's repositories
Automated_Table_Detection_and_recognition_from_Scanned_Images
The core objective of this project is to develop a sophisticated algorithm capable of accurately identifying tables within scanned images, even when confronted with diverse layouts,fonts, and varying image quality levels.This algorithm will not only locate these tables but also perform data extraction from them.
Behavioral-Cloning-Project
Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras.
Lane_Finding_Project
Advance Lane Line Finder on a Video Stream
Alexnet-Feature-Extraction_Traffic_Signs_Recognition
Feature Extraction via AlexNet
Camera_Calibration
Images and notebook for camera calibration
Coronavirus_Pandemic_Morocco_project
Forecasting of COVID-19 Cases and Deaths In the region of Souss-Massa Morocco Using LSTM
Gradient_Threshold
Gradient Threshold : Canny edge detection algorithm
Hand_Gestures_Detection_and_Recognition_Project
Project for detecting and recognizing hand gestures using computer vision and machine learning techniques. The goal of this project is to develop a system that can accurately detect and recognize hand gestures in real-time, allowing for gesture-based human-computer interaction.
messages-emails-classifier
Email Classification Tool
Pedestrian_Recognition
The primary goal of this project is to classify images swiftly and accurately, determining whether they contain pedestrians or not
TabulaScan
TabulaScan: Streamlined Scanned Image Table Extraction and Excel Conversion
Traffic-Sign-Recognition-Classifier-Project
Traffic-Sign-Recognition-Classifier-Project
Traffic_Signs_Recognition_Module_using_Cifar10_dataset
Classify Cifar10 images using LeNet model
Traffic_Signs_Recognition_Module_using_CNN_and_Keras_in_Python
multi-layer feedforward neural network to classify traffic sign images using Keras
VGG_Inception_ResNet_Feature_Extraction_with_Cifar10
Feature Extraction with Cifar10 Using VGG & Inception (GoogLeNet) & resnet Architecture
Titanic_Machine_Learning_from_Disaster
Titanic ML Competition.