BloomshotNet is an open-source YOLO-based blood detection model for content moderation, released with 23k+ annotated images, pre-trained weights (small/nano variants), and a CLI tool achieving ~0.8 precision at 40+ FPS on CPU. The technical deep-dive covers why specialized vision models outperform open-vocabulary approaches for this task, practical insights on video-level detection strategies, and architectural trade-offs between YOLO and transformers.