相关数据集
PBD5K
PBD5K数据集是首个针对动力电池检测（PBD）任务的大规模基准数据集，包含5000张X射线图像，来自九种电池类型，具有细粒度的标注和八种现实世界的视觉干扰。该数据集由耶鲁大学、大连理工大学、大众汽车公司、X3000Inspection公司和南洋理工大学的研究人员共同构建。数据集的构建过程采用了智能标注流程，包括图像过滤、模型辅助预标注、交叉验证和分层质量控制，显著提高了标注效率和准确性。PBD5
arXiv2025-08-11 更新1960
VeReMi Extension: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs
VeReMi Extension is a dataset for evaluating Misbehavior Detection Systems (MDSs) in Vehicular Ad hoc Networks (VANETs). It provides simulated V2X message logs and a broad set of misbehavior and attac
Zenodo2026-05-11 更新130
VeReMi NextGen: A Dataset for Evaluating Misbehavior Detection Systems in VANETs
VeReMi NextGen is a comprehensive dataset for researching and evaluating misbehavior detection systems in vehicular ad-hoc networks (VANETs). It extends the original VeReMi and VeReMi extension datase
Zenodo2026-04-28 更新100
AI4Mars: A Dataset for Terrain-Aware Autonomous Driving on Mars
This dataset was built for training and validating terrain classification models for Mars, which may be useful in future autonomous rover efforts. It consists of ~425K semantic segmentation full image
Zenodo2025-07-16 更新120
