Discover MohamedSebaie/Face_Mask_Detector_WebAPP-By_Streamlit

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MohamedSebaie

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This Project has been implemented by using OpenCV to detect faces in the input images and a pre-trained Keras CNN model (MobileNetV2) as mask/no-mask binary classifier applied to the faces Images. The Deep Learning model currently used has been trained using images data set from Kaggle. The trained model has been shared in this repo.

Fight_Detection_From_Surveillance_Cameras-PyTorch_Project

Fight Detection From Surveillance Cameras by fine-tuning a PyTorch Pretrained Model

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Coursera--Deep_Learning_Specialization--By_Anderw_Ng

Coursera (Deep_Learning_Specialization) By Andrew Ng and offered by deeplearning.ai.**Each of the below Courses Contains Notes, programming assignments, and quizzes.1- Neural Networks and Deep Learning;2- Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization; 3- Structuring Machine Learning Projects; 4- Convolutional Neural Networks;5- Sequence Models.

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Distracted-Driver-Detection-Project-TechnoColabs

This project focuses on driver distraction activities detection via images, which is useful for vehicle accident precaution. We aim to build a high-accuracy classifiers to distinguish whether drivers is driving safely or experiencing a type of distraction activity. https://pypi.org/project/Distracted-Driver-Detection/

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Arabic_Dialect_Identification_NLP-AIM-Task

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Car_Crashes_Detection_From_Surveillance_Cameras-OrangeLabs-Project