christio02/nm-ai-2026-grocery
By christio02 · ↓ 0 · ♥ 0 · Updated 2026-03-22
What's in this repo
This page lists the files in christio02/nm-ai-2026-grocery.
- No .onnx files in this repository
- 5 files, including 3 .pt, 1 .md
- Last updated 2026-03-22
ONNX files
This repository has no .onnx files. See the full file list on the right for other formats.
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
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
Model info
Created: 2026-03-22
Updated: 2026-03-22
View on Hugging FaceFiles (5)
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