Balanced Multiclass Image Classification with TensorFlow on Python.

Multiclass image classification using Convolutional Neural Network

Multiclass semantic segmentation using U-Net architecture combined with strong image augmentation

body-condition-score_cattle prediction.

Binary or multi-class image classification using VGG16

This repository is containing my Jupyter files.

This will help you to classify images into Multiple Classes using Keras and CNN

This is a project focused on identifying the presence of pneumonia in chest X-ray images. Each image can be classified into one of three categories: Bacterial Pneumonia, Viral Pneumonia, or Normal.

Apple disease detection using CNN is a GitHub repository that contains code for detecting diseases in apples using convolutional neural networks (CNNs). The repository uses a dataset of images of healthy and diseased apples to train the CNN model. The model is then used to classify new images of apples as healthy or diseased

Multiclass Classification of Imbalanced Image Dataset using Transfer Learning.

Photographs of Birds for Multi-target Images Classification

This repository contains Python code for rice type detection using multiclass classification. The project leverages the MobileNetV2 architecture to classify six different types of rice: Arborio, Basmati, Ipsala, Jasmine, and Karacadag. The dataset used for training and evaluation can be found on Kaggle and consists of categorized rice images.

Obstacle and free-space detection system for drones

This repository contains Python code for handwritten recognition using OpenCV, Keras, TensorFlow, and the ResNet architecture. The project utilizes two datasets: the standard MNIST 0-9 dataset and the Kaggle A-Z dataset. The OCR model is trained using Keras and TensorFlow, while OpenCV is used for image pre-processing.

A multiclass image classification project, used transfer learning to use pre-trained models such as InceptionNet to classify images of butterflies into one of 50 different species.

This project is Multi-class Image classification using Convolutional Neural Network developed using Python programming language.

Multiclass image classification of Bark-50 texture data from https://www.kaggle.com/datasets/saurabhshahane/barkvn50

Sequential CNN model using tensorflow for multi-class classification on images.

Simpson character classification

Trained a multiclass classifer network using cifar100 dataset