A Transfer Learning Based Web App for Glaucoma Detection Using Low-Cost Ophthalmoscopic Camera

In this repository you can find the jupyter notebooks used to take part at the competitions created for the Artifical Neural Networks and Deep Learning exam at Politecnico di Milano.

Deep Learning models for Object Detection

Diabetic Retinopathy Detection Using Inception Resnet

A set of notebooks that leverage classical ML algorithms and DL neural nets using TF, Keras and Theano to address a series of issues in the field of conservation and biology.

real time text detection with deep learning

Gathering and labeling data for an image-text fusion model for flavor classification of food based on recipes. Generating images using stable diffusion models, and using deep classification models like BERT, BiLSTM, and InceptionResnet.

This project leverages the power of deep learning to differentiate between real and fake face images. An Inception ResNet V1 model was trained on a dataset of 140,000 images, equally divided between real and fake faces, to achieve high accuracy in identifying fraudulent attempts at digital impersonation.

The dataset, provides 18000 images of 50 animal classes with pre-extracted feature representation for each image. The challenge was to build prediction models that can identify all the attributes associated with each animal.

Explore my comprehensive collection of AI models for blood cancer detection. Leveraging deep learning and medical imaging, these models aim to revolutionize early diagnosis and treatment, making a significant impact on the battle against blood cancers. #AI #HealthcareInnovation

This repository contains the jupyter notebooks used to take part at the competitions created for the Artifical Neural Networks and Deep Learning exam at Politecnico di Milano.

A Deep learning project for food classification on the popular Food-101 dataset using pre-trained CNNs like the Inception network, ResNets, and Inception-ResNets.

Multi-Class Skin Cancer Detection And Classification Using Deep Convolutional Neural Network

Malaria is one of the disease causing deaths worldwide. Detection of malaria is a physical task invloving pathologist to diagnosis the presence of parasite inside the microscopic view of thin blood smears. This process is prone to errors as it requires an experienced person. Also, eye sight plays a vital role in order to detect the malaria. Ther…

Persian Vehicle License Plate Recognition

Categorical Image Classification using Tensorflow/Keras on Intel Image Dataset

fine-tuning an image classification problem with transfer learning, using inResNetV2

Implementation of Google's Inception ResNet v2 for the task of automatic colorization of gray-scale images in the CIELAB color space.