Developed foundational facial expression recognition capabilities for the beyond-the-pixels-emerging-computer-vision-research-topics-fa24 repository, establishing a TensorFlow-based core model with a ResNet50 backbone. Designed and implemented data loading, preprocessing, and training scaffolding in Python and Jupyter Notebook, accompanied by comprehensive documentation to support reproducibility. Built a bias analysis and visualization workflow focused on the UTKFace dataset, enabling bias detection and interpretability through dedicated notebooks and updated READMEs. Improved repository hygiene by organizing notebooks and cleaning up stray files, laying the groundwork for collaborative research. The work provides a reproducible baseline and bias-aware evaluation process for future computer vision research and development.
November 2024: Delivered foundational FER capabilities and bias-analysis workflow in the beyond-the-pixels CV project. Established a TensorFlow-based Facial Expression Recognition (FER) core model with ResNet50 backbone, including data loading, preprocessing, training scaffolding, and core documentation. Implemented a bias-analysis visualization and documentation workflow centered on UTKFace, with notebooks and updated READMEs. Improved repository hygiene through notebook creation/cleanup and documentation updates, setting up reproducibility and collaboration for future sprints.
November 2024: Delivered foundational FER capabilities and bias-analysis workflow in the beyond-the-pixels CV project. Established a TensorFlow-based Facial Expression Recognition (FER) core model with ResNet50 backbone, including data loading, preprocessing, training scaffolding, and core documentation. Implemented a bias-analysis visualization and documentation workflow centered on UTKFace, with notebooks and updated READMEs. Improved repository hygiene through notebook creation/cleanup and documentation updates, setting up reproducibility and collaboration for future sprints.
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