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CNN Encoder Decoder Pokemon Database

Overview

This project focuses on compressing images from the Pokemon database. The process involves digitizing and storing images in a CSV file, preprocessing the data, and implementing both an encoder and a decoder.

Table of Contents

    1. Image Digitization and Storage in CSV File
    1. Data Preprocessing
    1. Implementation of Encoder and Decoder
    • 3.1 CNN Encoder/ Decoder
      • 3.1.1 Compression Ratio Calculation
      • 3.1.2 Compression Quality Calculation
    • 3.2 RNN Encoder/ Decoder

About

Exploring efficient image compression and decompression techniques for the Pokemon database. This project explores the implementation of CNN and RNN encoders/decoders, aiming to enhance image storage and retrieval. Computing valuable insights related to compression performance and quality metrics.

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