Job Title: Computer Vision Expert for Custom YOLO Model Training (Uncharted 4 multiplayer)

Job Title: Computer Vision Expert for Custom YOLO Model Training (Uncharted 4 multiplayer) ​Job Description: I need a highly accurate, professional-grade object detection model (YOLO-based) trained specifically for Uncharted 4. The model must handle all character states and environmental complexities. ​Key Requirements: ​Target Logic: The model must lock onto human players (head and upper-body) in all states: running, jumping, diving, swimming, behind cover, or partially visible. ​Tag Recognition (Crucial): ​Lock Target: Must lock onto any human player with a Red Tag/Text above their head, regardless of their skin or clothing. ​Ignore Target: Must strictly ignore any human player with a Blue Tag/Text above their head (teammates). ​Environmental Noise (Negative Samples): The training must include extensive negative samples to ignore map clutter, including statues, paintings, posters, vehicles, flags, water effects, and objective markers. ​Dataset Diversity: Must cover multiple game maps with varying lighting, character skins, and distances (long-range to close-range). ​Deliverable (Ready-for-Integration): The final output must be trained model weights (.pt or equivalent) that are optimized for immediate integration into a Python-based control script. The model must be clean and ready to use without further training required by the end-user. ​Application Requirements: Please confirm you have experience training YOLO models to differentiate between specific text tags (Red vs. Blue) and how you handle complex environmental distractions (statues, water, diverse character models)