This notebook focuses on data analysis, class exploration, and data augmentation. Below are the tasks implemented in this notebook:
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🔍 Class Exploration
- Exploring class distribution
- Analyzing image size distribution for both training and testing datasets
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📉 Dimension Reduction
- Performing necessary dimension reduction
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🛠️ Pre-processing Tasks
- Applying image processing techniques for effective pre-processing
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🌟 Data Augmentation
- Enhancing datasets using augmentation techniques
This workflow ensures better insights into the dataset while preparing it for training and testing!
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