efficientnetb0

QAT(quantize aware training) for classification with MQBench

End-to-end CNN-based image classification pipeline for plant leaf disease recognition using the PlantVillage dataset, comparing ResNet-18 and EfficientNet-B0 with transfer learning, quantitative evaluation, and Grad-CAM explainability.

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

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

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

🔪 Elimination based Lightweight Neural Net with Pretrained Weights

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

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

EDUNET FOUNDATION I SHELL I ARTIFICIAL INTELLIGENCE I 4-WEEKS VIRTUAL INTERNSHIP

Smart waste classification powered by machine learning, upload a photo of any item and the model predicts what type of waste it is and which bin it belongs to, with confidence scores and a built-in feedback system to improve over time.

Deep Learning based Skin Cancer Detection using multiple CNN architectures (VGG, ResNet, DenseNet, EfficientNet, Inception) with image preprocessing using ESRGAN and performance comparison for clinical AI research.

Know Your Sight is an AI-powered web platform designed to make eye disease detection faster, smarter, and more accessible for everyone.

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

This is the source codes and files of our graduation project : Coffee Leaf Diseases Classification using Deep Learning Models - College of Computer, Information Technology (IT)

✦ Real-Time AI-Powered Deepfake Detection System ✦ Detect Manipulated Images, Videos & Cloned Voices — Powered by Deep Learning

A deep learning-powered system for accurate brain tumor Classification and Segmentation using CNN models.

Image Captioning using EfficientNet and GRU

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

Automatic License Plate Detection and Recognition System for Challenging Bangladeshi License Plate using YOLOv8, fine-tuned EfficientNetB0 model and EasyOCR hybrid recognition.

Semantic segmentation of aerial imagery into 5 land-cover classes - 0.72 mIoU on LandCover.ai with a pretrained EfficientNet-B0 U-Net and Gradio demo.