2D facial landmarks detection with neural networks

This project uses PyTorch to classify bone fractures. As well as fine-tuning some famous CNN architectures (like VGG 19, MobileNetV3, RegNet,...), we designed our own architecture. Additionally, we used Transformer architectures (such as Vision Transformer and Swin Transformer). This dataset is Bone Fracture Multi-Region X-ray, available on Kaggle.

Bushfires detector using mobilenet as feature extractor

Deep convolutional neural network implementation for brain tumor segmentation.

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MobileNetV3 implementation from scratch using PyTorch.

Biometric face tracking attendance system for tracking and verifying employee’s or student’s attendance using their unique facial characteristics

Face Recognition training and testing framework with tensorflow 2.0 based on the well implemented arcface-tf2. Changes are added to provide tensorflow lite conversion, and provide additional backbones, loss functions.

A computer vision-driven Face Mask Detection system, leveraging OpenCV alongside deep learning frameworks such as Tensorflow and Keras and Real-time social distancing surveillance using an IP camera, enhanced for superior performance through multi-threading

Introduction Course to Deep Learning using Google Colab.

대충 TFJS 쓰던 사람이 Python TF 배워보겠다고 만든 이미지 인식 프로젝트

Examining different architectures of famous artificial intelligence networks using fer2013 dataset

MobileNetV3 in PyTorch

GUI testing automation and testing tools automation attempt

Background Replacement in Video Conferencing (IJNDI 2023)

Implementation of MobileNet-V3 with pytorch and tested with Kaggle MNIST dataset

Implementation of MobileNetV3 in pytorch

Emotion prediction and Spotify music recommendation using MobileNetV3-Large and Streamlit.

Realtime traffic sign detection on mobile