O. Orcinus enhanced segmentation accuracy in the ultralytics/ultralytics repository by refining the FastSAM pipeline. They refactored the image cropping process to ensure masks were applied before image conversion, addressing a subtle sequencing issue that improved prediction fidelity. Orcinus also corrected index remapping logic to preserve original text indices after filtering, which stabilized downstream processing and maintained data integrity. Their work included targeted fixes to the CLIP prompting flow, supporting more robust end-to-end segmentation. Leveraging expertise in Python, computer vision, and deep learning, Orcinus delivered a focused feature improvement that addressed nuanced technical challenges within a complex image processing system.