mvtec-ad
Datasets
All datasets matching “mvtec-ad”mvtec-ad
Dataset Card for MVTec AD
This dataset originates from MVTec but is provided in a different format. You can easily load it using FiftyOne
The total number of samples remains the same as the original: 5,354.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/mvtec-ad.mvtec-ad
MVTec AD - Anomaly Detection Dataset
This repository mirrors the MVTec AD dataset for CI/CD and non-commercial research workflows.
License
The data is released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). It is not allowed to use the dataset for commercial purposes.
Attribution
If you use the dataset in scientific work, please cite the original authors:
Paul Bergmann, Kilian Batzner… See the full description on the dataset page: https://huggingface.co/datasets/foersben/mvtec-ad.mvtec-ad
Dataset Card for MVTec AD
This dataset originates from MVTec but is provided in a different format. You can easily load it using FiftyOne
The total number of samples remains the same as the original: 5,354.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset… See the full description on the dataset page: https://huggingface.co/datasets/OctorVX/mvtec-ad.MVTecAD2_FO
Dataset Card for mvtecad2
This is a FiftyOne dataset with 3914 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("pjramg/MVTecAD2_FO")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/pjramg/MVTecAD2_FO.mvtec-ad
Dataset Card for MVTec AD
This dataset originates from MVTec but is provided in a different format. You can easily load it using FiftyOne
The total number of samples remains the same as the original: 5,354.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset… See the full description on the dataset page: https://huggingface.co/datasets/box0602/mvtec-ad.mvtec-ad-metal-nut
MVTec AD - Metal Nut Dataset
Metal nut subset from MVTec Anomaly Detection dataset.
Defect Types
bent, color, flip, scratch
AU-ROC: 99.7% (EfficientAD medium)