AI-Face-Mask-Detector
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Updated
May 13, 2024 - Python
AI-Face-Mask-Detector
Facial Recognition using Resnet 50 for embeddings from scratch without any pre-trained model
A generative adversarial network engineered that utilizes a discriminator and a generator. The GAN can be trained using a Binary Cross Entropy Loss or a Wasserstein Distance Loss to generate replicate images based on input data.
This repo is implementation for PointNet and PointNet++ for binary (0 or 1) in pytorch.
Kyphosis disease prediction using Fully Connected Neural Networks (FCNNs) model and XGBoost model with GridSearchCV
Rice Grain Classification Using MobileNetV2 This project focuses on classifying five types of rice grains (Arborio, Basmati, Ipsala, Jasmine, and Karacadag) using MobileNetV2. The dataset consists of 75,000 images (15,000 per class).
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