Dataset · Hugging Face

pjramg/MVTecAD2_FO

Name: MVTecAD2_FO
Creator: pjramg
Keywords: task_categories:image-classification, task_categories:image-segmentation, language:en, size_categories:1K<n<10K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, library:fiftyone, region:us, fiftyone, image, image-classification, image-segmentation

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.

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Author / organization	pjramg
Downloads	13K (as reported by Hugging Face)
Likes	0
Created	4 September 2025
Last updated at source	4 September 2025

fiftyoneimageimage-classificationimage-segmentation

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