mvtec
Datasets
All datasets matching “mvtec”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_anomaly_detectionmvtec_locomvtech_anomaly_detection
MVTec Anomaly Detection Dataset (MVTec AD)
Dataset description
The MVTec Anomaly Detection (MVTec AD) dataset is a large-scale real-world dataset for unsupervised anomaly detection in industrial inspection scenarios.It contains high-resolution images of multiple object and texture categories, including normal samples and various defect types with pixel-level ground truth masks.
Official website:https://www.mvtec.com/company/research/datasets/mvtec-ad
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/micguida1/mvtech_anomaly_detection.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.