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

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

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

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

Image Captioning using EfficientNet and GRU

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

HAM10000 Skin Lesion Classification

INR Denomination Recognition is an image classification project

Mask Monitoring System

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

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.

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

Classify Chest X-ray image to pneumonia or normal.