christio02/nm-ai-2026-grocery

NM i AI 2026 — Grocery Shelf Detection

YOLO26l ensemble + MobileNetV3 classifier for detecting and classifying 356 grocery products on store shelves.

Competition score: 0.8656 (NM i AI 2026, NorgesGruppen task)

Files

File	Description
yolo26l_v1_best.pt	YOLO26l v1, mAP50=0.628, batch=2, 400 epochs
yolo26l_v2_best.pt	YOLO26l v2, mAP50=0.636, batch=4, patience=75
mobilenetv3_classifier.pt	MobileNetV3-Small, 87.51% val accuracy

Pipeline

YOLO26l v1 + v2  →  Weighted Box Fusion  →  MobileNetV3 classifier

Training

• Detector: YOLO26l, imgsz=1280, copy_paste=0.3, mixup=0.15, cls=1.0
• Classifier: MobileNetV3-Small, 24,308 crops, stratified split, label smoothing=0.1
• Hardware: NVIDIA L4 24GB

Code

https://github.com/Christio02/nm-ai-status-online