datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SVRDD_YOLO
SVRDD Road Damage Detection
This repository is formatted for the Hugging Face Dataset Viewer. Each row
contains an image and its road-damage object annotations.
Load the dataset
from datasets import load_dataset
ds = load_dataset("YOUR_USERNAME/YOUR_DATASET_NAME")
example = ds["train"][0]
print(example["image"])
print(example["objects"])
Local unzip usage
If you want the images as regular local files, unzip the split archives:
unzip train.zip -d… See the full description on the dataset page: https://huggingface.co/datasets/ShuoZheLi/SVRDD_YOLO.tinyperson-yolov8n-oacp-load-adaptive-022e5d9levir-yolov8n-p2-kvca-selectivity-e2e-seed42tinyperson-yolov8n-p2p3p4-m5-cp3-runstinyperson-yolov8n-p2p3p4-oacp-fixedsplit42-0a2ca54-seed43tinyperson-yolov8n-oacp-mass-adaptive-022e5d9tinyperson-yolov8n-p2p3p4-oacp-mass-cp3-mosaiclevir-yolov8n-p2-gap-factorized-tal-legacy-seed42tinyperson-yolov8n-p2p3p4-hard-negative-mosaic-runslevir-yolov8n-p2p3p4-m5-oacp-r2-runslevir-yolov8n-p2-tophat-gap-ftal-legacy-seed42tinyperson-yolov8n-p2p3p4-cp3-mosaic-no-oacptinyperson-yolov8n-p2p3p4-oacp-mass-cp3-no-mosaictinyperson-yolov8n-p2p3p4-oacp-fixedsplit42-0a2ca54-seed42levir-yolov9t-no-oacp-no-mosaic-seed42levir-yolov8n-p2p3p4-hard-negative-mosaic-runslevir-yolov8n-p2-tophat-plain-ftal-noggcf-seed42levir-yolov8n-p2-kvca-surgical-placement-probe-seed42tinyperson-yolov8n-p2p3p4-oacp-fixedsplit42-0a2ca54-seed44levir-yolov8n-p2-gap-factorized-tal-rerun-seed42levir-yolov8n-p2-tophat-plain-ftal-legacy-seed42levir-yolov8n-p2-gap-factorized-tal-augmentations-seed42levir-yolov9t-oacp-no-mosaic-seed42levir-yolov8n-p2p3p4-samc-oacp-current-seed42tinyperson-yolov8n-oacp-spacing-adaptive-022e5d9levir-yolov8n-p2p3p4-samc-seed42levir-yolov8n-p2-tophat-gap-ftal-noggcf-seed42tinyperson-yolov9t-cp3-mosaic-no-oacp-reruntinyperson-yolov8n-p2p3p4-samc-cp3-no-oacp-seed42Yolov8s