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danielaivanova/damaged-media

Dataset Card for "ARTeFACT" ARTeFACT: Benchmarking Segmentation Models on Diverse Analogue Media Damage Here we provide example code for downloading the data, loading it as a PyTorch dataset, splitting by material and/or content, and visualising examples. Housekeeping !pip install datasets !pip install -qqqU wandb transformers pytorch-lightning==1.9.2 albumentations torchmetrics torchinfo !pip install -qqq requests gradio import os from glob import glob import… See the full description on the dataset page: https://huggingface.co/datasets/danielaivanova/damaged-media.

Author / organizationdanielaivanova
License (as declared)afl-3.0
Downloads276 (as reported by Hugging Face)
Likes8
Created23 October 2023
Last updated at source22 January 2025
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  • 16 Oct 2026 Description: Dataset Card for "ARTeFACT" ARTeFACT: Benchmarking Segmentation Models on Diverse Analogue Media Damage Here we provide example code for downloading the data, loading it as a PyTorch dataset, splitting by material and/or content, and visual → Dataset Card for "ARTeFACT" ARTeFACT: Benchmarking Segmentation Models on Diverse Analogue Media Damage Here we provide example code for downloading the data, loading it as a PyTorch dataset, splitting by material and/or content, and visual

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