Dataset · Hugging Face

shanexf/cardamagepanel-rotaug

Name: cardamagepanel-rotaug
Creator: shanexf
Keywords: task_categories:image-segmentation, size_categories:10K<n<100K, format:text, modality:image, modality:text, library:datasets, library:mlcroissant, region:us, yolo, ultralytics, car-parts, car-damage, augmentation

CarDamagePanel: rotation + photometric augmented YOLO-format panel labels for damaged-car images, exported from Ultralytics Platform (team-ks/cardamagepanel). Only the train split is augmented; val and test are untouched. Splits split images train 2905 val 103 test 47 test_rotdeg 47 train = 415 originals x 7 (original + 6 augmented copies). test_rotdeg = each test image with one random full-range rotation plus the photometric effects below… See the full description on the dataset page: https://huggingface.co/datasets/shanexf/cardamagepanel-rotaug.

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Author / organization	shanexf
Downloads	216 (as reported by Hugging Face)
Likes	0
Created	2 October 2026
Last updated at source	7 October 2026

yoloultralyticscar-partscar-damageaugmentation

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shanexf/car-panel-yolo11s-seg-scratchModel · used to train

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shanexf/cardamagepanelDataset

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