Segmentation visualization, keras, augmentation, fine tuning

Nudity, violence and drugs detection using nudeNet for nudity, for violence and drugs detection I hyper-tuned mobilenet model on my own collected dataset, the final results is a python flask API that takes an image or a set of images, will return a score on how much it's suitable for work.

Keras implementation of multi-label classification of movie genres from IMDB posters

No description provided.

A customized real-time ImageDataGenerator for Keras

A CNN based algorithm with 91% accuracy for brain tumor detection.

Using CNN to detect Malaria with the help of cell images

Image Classification model for detecting and classifying *DIABETIC RETINOPATHY* using retina images

Extract text from handwritten infomation on bank checks images

This repository for my Data Science, Machine Learning and Deep Learning projects. I want to share my work on this areas.

Image Data Augmentation using Keras.

keras 2d image classification

Tensorflow2(Keras)のImageDataGeneratorのJupyter上での実行例。

This is a plugin tool for your project to impliment your coustom image processing algorithms

Image classification project with CNN

A robust image classifier using CNNs to efficiently classify different plant seedlings and weeds to improve crop yields and minimize the extensive human effort to do this manually.

No description provided.

Beginner Machine Learning - submission task for beginner Machine Learning class

Fruit Classification dataset using ANN-CNN

ML project for Content Based Image Recognition using Keras

A Keras like Image Data Generator using TensorFlow's multithreading

Rice Leaf Disease Prediction

Brain Tumor Classification : Cancer/Healthy

COVID-19-Xray-Dataset Deep Learning using 3 models

No description provided.

Machine Learning Algorithms for Detecting Age by Photo – Study Project for Yandex Practicum

Brain Tumor Detection using EfficientNetB3-based Deep Learning model. The project leverages transfer learning on MRI brain scan images to classify and detect brain tumors with high accuracy. Includes full workflow: data preprocessing, image augmentation, model building, evaluation, and deployment.

A repository with my course practice in MGMT590 Machine Learning at Krannert School of Management, Purdue University.

Pistachios are nutritious nuts that are sorted based on the shape of their shell into two categories: Open mouth and Closed mouth. The open-mouth pistachios are higher in price, value, and demand than the closed-mouth pistachios. Because of these differences, it is considerable for production companies to precisely count the number of each kind.

TensorFlow Image Data Generator Tasks Final Project Submission