In January 2025, Sam Winebrake integrated the Inception v4 model into the brain-score/vision repository, focusing on enhancing model compatibility for vision benchmarks. Using Python and leveraging deep learning and computer vision expertise, Sam updated the implementation to introduce a generalized model identifier and standardized pre-trained model naming. The work included refining the layer extraction logic, enabling robust feature aggregation across diverse datasets. This integration addressed the need for broader model support and streamlined deployment within the benchmarking framework. The depth of the work is reflected in the careful standardization and extensibility, laying groundwork for future model integrations and evaluation workflows.