Multiclass image classification using Convolutional Neural Network
multiclass-image-classification 开源项目推荐(106 个)
multiclass-image-classification 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 106 个仓库Balanced Multiclass Image Classification with TensorFlow on Python.
Multiclass semantic segmentation using U-Net architecture combined with strong image augmentation
body-condition-score_cattle prediction.
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.
This will help you to classify images into Multiple Classes using Keras and CNN
Deep learning pipeline for classification of Cataract, Diabetic Retinopathy, Glaucoma and Normal using fundus images
Code for "A Novel Convolution Transformer-Based Network for Histopathology Image Classification Using Adaptive Convolution and Dynamic Attention"
This repository contains models for Multi-class disease detection using Chest X ray. A detail analysis of our approach is mentioned.
The project focuses on Identification of various Gemstone. The dataset consists of 87 classes.It shows the whole progress and model used to achieve final accuracy. You will gain knowledge of Computer Vision, The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet,The final model used was transfer learning with model MobileNetV2
This repository is containing my Jupyter files.
This repository contains Python code for a project that performs American Sign Language (ASL) detection using multiclass classification. It utilizes YOLO (You Only Look Once) and MobileNetSSD_deploy for object detection, achieving an accuracy of 91%. The code offers options to predict signs from both images and videos.
This project uses TinyVGG and Streamlit to classify handwritten digits.
Multiclass Skin lesion localization and Detection with YOLOv7-XAI Framework with explainable AI
Multi-class classification by Deep Learning approach on image data.
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.
Photographs of Birds for Multi-target Images Classification
Successfully trained a deep learning model which can precisely predict the species of flowers based on their images.
Multiclass Classification of Imbalanced Image Dataset using Transfer Learning.
SSCI23 Explainable AI in Network Traffic Classification
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/multiclass-image-classification。
- 该话题在 GitHub 上共有 106 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 271 Star,覆盖 2 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。