init: placeholder README, training in progress

README.md

@@ -0,0 +1,31 @@
+---
+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)