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

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

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

SkinNet Analyzer: A Deep Learning-Based Skin Disease Detection System - College Final Year (4th year) Project

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

HAM10000 Skin Lesion Classification

Deepfake detection leveraging the OpenForensics dataset, a comprehensive resource for face forgery detection and segmentation research. The project explores various deep learning models and evaluates their performance in distinguishing between real and fake images of human faces.

Image Captioning using EfficientNet and GRU

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

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

CoalClassifier: A deep learning model for classifying coal types using EfficientNetB0-based transfer learning and fine-tuning techniques. This project is designed to accurately distinguish between Anthracite, Bituminous, Lignite, and Peat classes and is developed using TensorFlow/Keras

INR Denomination Recognition is an image classification project

Classify Chest X-ray image to pneumonia or normal.