Developed a comprehensive dataset loader for the IMDB-Wiki dataset within the nn-dataset repository to facilitate age regression experiments. The solution included an end-to-end data ingestion pipeline, validation and test scripts, and visualization utilities for inspecting sample images and age distributions. Leveraging Python and PyTorch, the loader was designed to ensure reliable data loading and reproducibility, supporting rapid prototyping and benchmarking of machine learning models. The implementation emphasized dataset quality checks through integrated visualization and validation, streamlining experimentation workflows. This work enhanced the repository’s capability for managing large-scale datasets and improved the efficiency of age regression model development and evaluation.