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an efficient and reliable system for image detection

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Image Detection CNN with ResNet

This project uses a pretrained ResNet model to classify images into multiple categories. You can define as many classes as needed.

Class mapping example:

0 – Class 1
1 – Class 2
2 – Class 3
N – Class N (add as many as required)

Folder Structure

data/          # Dataset folder
src/           # Source code
checkpoints/   # Saved model weights
run.py         # Script to train and evaluate the model

Installation & Setup

  1. Clone the repository:

    git clone <repo-url>
    cd <repo-folder>
  2. Install required dependencies:

    pip install -r requirements.txt

How to Run

To train and evaluate the model, run:

python run.py

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