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#

image-classification-model

Here are 14 public repositories matching this topic...

Implementation of the MCNN-14 model for fashion image classification, achieving 93.08% accuracy on Fashion-MNIST. Based on our paper "An Efficient Multiple Convolutional Neural Network Model (MCNN-14) for Fashion Image Classification."

  • Updated Feb 9, 2026
  • Jupyter Notebook
Image_Classification_System

Develop an AI-based image classification system using CNN and transfer learning. The project includes data preprocessing, model training, fine-tuning, evaluation with precision, recall, and F1-score, and testing.

  • Updated Jun 27, 2024
  • Jupyter Notebook

A project that involves using Machine Learning Models (such as Convolutional Neural Networks) to identify mathematical symbols and solve given expressions.

  • Updated Jul 20, 2025
  • Python

Real-time traffic sign recognition and classification system using hybrid Vision Transformer (ViT) and ResNet34 models. Achieves ~92% accuracy with YOLOv8-labeled data preprocessing and PyTorch-based inference pipeline.

  • Updated May 5, 2024
  • Jupyter Notebook

Image Classification Model, You can upload the following images: TRANSPORTS: Car, Boat, Airplane, Rocket, Helicopter, CARNIVORES: Raccoon, Otter, Dog, Lion, Tiger, Red_panda, Lynx, Jaguar, Bear, Fox, Cat FRUITS: Apple, Grape, Common_fig, Pear, Strawberry, Tomato, Lemon, Banana, Orange, Peach, Mango, Pineapple, Grapefruit, Pomegranate, Watermelon...

  • Updated Jun 23, 2022
  • Python

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