btad

BTAD: BeanTech Anomaly Detection Dataset

https://github.com/dataset-ninja/btad

Science Score: 44.0%

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

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
○
DOI references
○
Academic publication links
○
Academic email domains
○
Institutional organization owner
○
JOSS paper metadata
○
Scientific vocabulary similarity
Low similarity (0.8%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

BTAD: BeanTech Anomaly Detection Dataset

Basic Info

Host: GitHub
Owner: dataset-ninja
License: other
Language: Python
Default Branch: main
Size: 6.53 MB

Statistics

Stars: 1
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 0

Created over 2 years ago · Last pushed 7 months ago

Metadata Files

Readme License Citation

README.md

BTAD: beanTech Anomaly Detection Dataset

BTAD is a dataset for instance segmentation, semantic segmentation, object detection, and semi-supervised learning tasks.

Owner

Name: dataset-ninja
Login: dataset-ninja
Kind: organization

Repositories: 1
Profile: https://github.com/dataset-ninja

Citation (CITATION.md)

If you make use of the BTAD data, please cite the following reference:

``` bibtex
@inproceedings{
  mishra21-vt-adl,
  author = {Mishra, Pankaj and Verk, Riccardo and Fornasier, Daniele and Piciarelli, Claudio and Foresti, Gian Luca},
  title = {{VT-ADL}: A Vision Transformer Network for Image Anomaly Detection and Localization},
  booktitle = {30th IEEE/IES International Symposium on Industrial Electronics (ISIE)},
  year = {2021},
  month = {June},
  location = {Kyoto, Japan}
}
```

[Source](https://github.com/pankajmishra000/VT-ADL#cite)

GitHub Events

Total

Push event: 2

Last Year

Push event: 2

Dependencies

requirements.txt pypi

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Open Source Science