README.md

---
tags:
- element_type:detect
- model:yolov11-nano
- object:person
manako:
  description: YOLOv11-nano for ground-level CCTV person detection on SN44 (training in progress)
  source: meaculpitt/Detect-Person
  prompt_hints: null
  input_payload:
  - name: frame
    type: image
    description: RGB frame
  output_payload:
  - name: detections
    type: detections
    description: List of bounding boxes for detected persons
  evaluation_score: null
  last_benchmark: null
---

# Detect-Person — SN44

YOLOv11-nano fine-tuned for ground-level CCTV person detection.

**Status**: Training in progress. Model weights will be uploaded on completion.

- Training data: CrowdHuman (15k) + BDD100K pedestrians (3.2k)
- Validation: COCO val2017 persons
- Input size: 1280×1280
- Conf threshold: 0.35 (precision-tuned for false_positive pillar)