QAT(quantize aware training) for classification with MQBench

This is a project documentation about melanoma detection methods using convolutional neural networks.

🔪 Elimination based Lightweight Neural Net with Pretrained Weights

An implementation of the Arabic sign language classification using Keras on the zArASL_Database_54K dataset

American Sign Language Alphabet Detection in Real Time using OpenCV-Mediapipe with EfficientNetB0 in PyTorch

The purpose of Food Vision project is to classify 101 variety of food items using Machine Learning.

Development of a depth estimation model based on a UNET architecture - connection of Bi-directional Feature Pyramid Network (BIFPN) and EfficientNet.

TFlite+CNN

49.5 mAP50 Detector enet4y2-coco.cfg = EfficientnetB0 + 4YOLO Layers + BiDirectionalFeatureMap with COCO Dataset and 81.0 mAP50 with VOC2007 test Dataset.

A Deep Learning application for Malaria Detection

Image Captioning using EfficientNet and GRU

HAM10000 Skin Lesion Classification

INR Denomination Recognition is an image classification project

Mask Monitoring System

Classify Chest X-ray image to pneumonia or normal.

A multi classification using scikit-learn and TensorFlow models on MRI scans of patient's brains.

I'm developing an app named BarkRescue, which includes project code, app functionalities, and system architecture. Additionally, I've written three detailed blogs on EfficientNet, YOLOv5, and MobileNet-v2, focusing on their architecture and workings before integrating these models into my project.

This application predicts the name of a country (or countries) based on an input flag image. It uses advanced image processing techniques and deep learning models built with PyTorch to classify flags accurately.

Dust detection on solar photovoltaics panel using pre-trained CNN models