Ir para o conteúdo
ModelListadosExterno
Baixar

SNAIC Week4 SmartCart

educational-use-only

Fontehuggingface.co/Hongming111/SNAIC_Week4_SmartCart/tree/68df23dc37ab76df149dd34b5925a8e6e4efc41d
TipoOtherVersãoDetector v0Cnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
10,4 KB–22,7 MB
Versão
vDetector v0
Atualizado
22 de out. de 2026
Fonte
Hugging Face

Descrição da fonte

SmartCart SG — trained bundle (SNAIC Week 4 Capstone)

Trained artifacts for a self-checkout computer-vision pipeline (detect -> recognize -> price -> receipt) built on a home-grown Singapore grocery dataset. Source code and full writeup: hongming111/SNAIC_Week4_SmartCart.

Powers the companion Space: Hongming111/SNAIC_Week4_SmartCart.

Contents

FilePurpose
detector.pt, detector_v0.ptYOLO11 product detector (basket-hardened / earlier version)
FastSAM-s.ptFastSAM "segment everything" proposals for Basket mode
head.pt, head.onnx, head.int8.onnx25-way recognition head on frozen DINOv2 features (PyTorch / ONNX / quantized)
gallery_index.npy, gallery_meta.csvDINOv2 embedding gallery used for open-set gating
catalog_prices.csvReal median FairPrice SGD prices per class
confidence_threshold.jsonCalibrated serving threshold (0.6, held-out crop split)
labels.csv, manifest.json, crops/, crops_manifest.csv, crops_train.csvTraining/label provenance
decisive_lift_table.csv, lift_table.csv, lift_table_vs_real_photo.csv, per_class_metrics.csv, error_report.mdEvaluation and augmentation-lift measurements

Headline results

  • Detection: YOLO11n, mAP50-95 0.76; basket-hardened retrain: real 5-product basket 0 -> 7 boxes.
  • Recognition: 25-way linear head on frozen DINOv2, 94% validation (crop-aware).
  • Serving (head.onnx/head.int8.onnx): 76.5% on 17 held-out real photos, 96.2% on held-out detector crops; ONNX parity 1.4e-6; int8 = 10.6 KB.

License / usage restriction

Educational use only. Product studio images/prices originate from FairPrice/NTUC, collected under fair-dealing/educational use for coursework — do not use this repo or its contents commercially or redistribute the dataset. See the linked LICENSE for full terms.

Fontes

1 fonte
Hugging FacePrimárioVersão 68df23dc37ab76df149dd34b5925a8e6e4efc41d
huggingface.co/Hongming111/SNAIC_Week4_SmartCart/tree/68df23dc37ab76df149dd34b5925a8e6e4efc41d

Verificado 22 de out.

Artefatos de modelo

7 artefatos

detector_v0.pt

pt · 5,22 MB · SHA-256 78cb5e1cd241…25eb · Hugging Face

Baixar

detector.pt

pt · 5,22 MB · SHA-256 90fa5bff4ff5…4115 · Hugging Face

Baixar

FastSAM-s.pt

pt · 22,7 MB · SHA-256 c9f78716a81c…0844 · Hugging Face

Baixar

head_v2.pt

pt · 39,0 KB · SHA-256 f16dc0a46546…9ed9 · Hugging Face

Baixar

head.int8.onnx

onnx · 10,4 KB · SHA-256 6039c67ad68f…4fe6 · Hugging Face

Baixar

head.onnx

onnx · 37,8 KB · SHA-256 72e5cb34a0fc…91be · Hugging Face

Baixar

head.pt

pt · 39,0 KB · SHA-256 e618f0b9e59f…4cf3 · Hugging Face

Baixar

Trechos de fonte

2 trechos
Readme5 de ago.huggingface.co/Hongming111/SNAIC_Week4_SmartCart

--- license: other license_name: educational-use-only license_link: https://github.com/hongming111/SNAIC_Week4_SmartCart/blob/main/LICENSE tags: - computer-vision - object-detection - image-classification - gradio - yolo - dinov2 - onnx --- # SmartCart SG — trained bundle (SNAIC Week 4 Capstone) Trained artifacts for a self-checkout computer-vision pipeline (detect -> recognize -> price -> receipt) built on a home-grown Singapore grocery dataset. Source code and full writeup: [hongming111/SNAIC_Week4_SmartCart](https://github.com/hongming111/SNAIC_Week4_SmartCart). Powers the companion Space: [Hongming111/SNAIC_Week4_SmartCart](https://huggingface.co/spaces/Hongming111/SNAIC_Week4_SmartCart). ## Contents | File | Purpose | |---|---| | `detector.pt`, `detector_v0.pt` | YOLO11 product detector (basket-hardened / earlier version) | | `FastSAM-s.pt` | FastSAM "segment everything" proposals for Basket mode | | `head.pt`, `head.onnx`, `head.int8.onnx` | 25-way recognition head on frozen DINOv2 features (PyTorch / ONNX / quantized) | | `gallery_index.npy`, `gallery_meta.csv` | DINOv2 embedding gallery used for open-set gating | | `catalog_prices.csv` | Real median FairPrice SGD prices per class | | `confidence_threshold.json` | Calibrated serving threshold (0.6, held-out crop split) | | `labels.csv`, `manifest.json`, `crops/`, `crops_manifest.csv`, `crops_train.csv` | Training/label provenance | | `decisive_lift_table.csv`, `lift_table.csv`, `lift_table_vs_real_photo.csv`, `per_class_metrics.csv`, `error_report.md` | Evaluation and augmentation-lift measurements | ## Headline results - Detection: YOLO11n, mAP50-95 **0.76**; basket-hardened retrain: real 5-product basket 0 -> 7 boxes. - Recognition: 25-way linear head on frozen DINOv2, **94%** validation (crop-aware). - Serving (`head.onnx`/`head.int8.onnx`): **76.5%** on 17 held-out real photos, **96.2%** on held-out detector crops; ONNX parity 1.4e-6; int8 = 10.6 KB. ## License / usage restriction **Educational use only.** Product studio images/prices originate from FairPrice/NTUC, collected under fair-dealing/educational use for coursework — **do not use this repo or its contents commercially or redistribute the dataset.** See the linked LICENSE for full terms.

Note5 de ago.huggingface.co/Hongming111/SNAIC_Week4_SmartCart

Source context: 0 downloads · 0 likes · Pipeline image-classification · Repo Hongming111/SNAIC_Week4_SmartCart