Image Dataset Preparation & CNN Training
Worked on an image classification project involving preparation and validation of labeled image datasets for training a Convolutional Neural Network (CNN). Organized datasets, ensured correct labeling, and applied preprocessing techniques such as normalization and augmentation. Focused on maintaining data quality by identifying incorrect labels, removing noisy data, and improving dataset consistency, which contributed to better model accuracy.