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ssgd

SSGD(ICASSP2023)

https://github.com/vincenthancoder/ssgd

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
    Found CITATION.cff file
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    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
    Links to: arxiv.org
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    Institutional organization owner
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (5.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

SSGD(ICASSP2023)

Basic Info
  • Host: GitHub
  • Owner: VincentHancoder
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Size: 14.4 MB
Statistics
  • Stars: 40
  • Watchers: 1
  • Forks: 4
  • Open Issues: 2
  • Releases: 0
Created over 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

SSGD: A SMARTPHONE SCREEN GLASS DATASET FOR DEFECT DETECTION

part-1 <!-- part-2 -->

Paper (ArXiv) | Results | Download(Baidu) | Download(TsinghuaCloud)

SSGD

  • For screen glass defect detection
  • 2,504 annotated images and 3,914 defects
  • Seven types of defects: crack, broken, spot, scratch, light-leakage, blot, broken-membrane

Usage

This dataset is allowed for academic purposes only. We recommend that researchers use 5-fold cross-validation to conduct experiments on SSGD.

Dependency

We mainly depend pytorch, timm and mmdetection: pip install torch==1.7.1+cu110 torchvision==0.8.2+cu110 torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html pip install timm==0.3.2 pip install mmcv-full==1.3.17 -f https://download.openmmlab.com/mmcv/dist/cu110/torch1.7/index.html pip install mmdet==2.25.0 After downloading the dataset, you should put it into ./data/defect_scree.

Citation

@inproceedings{SSGD, author = {Haonan Han and Rui Yang and Shuyan Li and Runze Hu and Xiu Li}, title = {SSGD: A smartphone screen glass dataset for defect detection.}, booktitle = {ICASSP}, year = {2023} }

Owner

  • Name: Haonan Han
  • Login: VincentHancoder
  • Kind: user
  • Location: Shen Zhen, China
  • Company: Tsinghua University

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "MMDetection Contributors"
title: "OpenMMLab Detection Toolbox and Benchmark"
date-released: 2018-08-22
url: "https://github.com/open-mmlab/mmdetection"
license: Apache-2.0

GitHub Events

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  • Issues event: 1
  • Watch event: 13
  • Issue comment event: 2
  • Push event: 1
  • Fork event: 1
Last Year
  • Issues event: 1
  • Watch event: 13
  • Issue comment event: 2
  • Push event: 1
  • Fork event: 1