adas
Datasets
All datasets matching “adas”winter-driving-dataset
AD Winter Driving Dataset: Multimodal Perception & Physics
This is the official Hugging Face repository hosting the image binary packages and pre-trained benchmarks for the AD Winter Driving Dataset, created by the AD Assurance Lab in partnership with Western Michigan University and MCity.
For the code repositories, synchronized CSV metadata, loaders, and developer documentation, please visit the main GitHub repository:
👉 GitHub: AD-Assurance-Lab/winter-driving-dataset… See the full description on the dataset page: https://huggingface.co/datasets/AD-Assurance-Lab/winter-driving-dataset.adasemseg-seismic-facies-datasets
Processed Seismic Facies Datasets (F3, Parihaka, Penobscot)
Processed, ready-to-train .npy volumes and train/val/test splits for the three public seismic facies datasets used in:
Saha, S. and Whitaker, R. AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies. IEEE Transactions on Geoscience and Remote Sensing, 2025. arXiv:2501.16760
Code: github.com/Surojit-Utah/AdaSemSeg · Also archived on Zenodo: 10.5281/zenodo.21764042
Important: this is not… See the full description on the dataset page: https://huggingface.co/datasets/Surojit-Utah/adasemseg-seismic-facies-datasets.steering-verification-captures
Steering verification captures
Rendered camera frames along two driving routes, in four weather conditions each. These
are the input to the formal certificates in
formal-verification--steering--code,
and they are published because they are what makes those certificates checkable without
a simulator.
The paper is Testing Between the Test Cases: Proving End-to-End Steering in Conditions
You Never Drove (arXiv:2609.10951).
route
conditions
poses
frames… See the full description on the dataset page: https://huggingface.co/datasets/AD-Assurance-Lab/steering-verification-captures.aeb-verification-captures
Camera frames and trained networks for the braking verification study
The inputs to AD-Assurance-Lab/formal-verification--aeb--code, measured on 2026-09-10.
Why this exists. The study's results are in git. These files are not: they are large and
git ignores them. Without them the published numbers can be reproduced in kind but never
exactly, because the simulator does not render bit-identical frames from one run to the
next. Different frames give different networks, which give… See the full description on the dataset page: https://huggingface.co/datasets/AD-Assurance-Lab/aeb-verification-captures.ADAS-TO-Sample
🚗💨 ADAS-TO-Sample
Open subset of ADAS-TO: six drivers, every clip
1,342 real-world takeover events · 16 vehicle models · 7 manufacturers · 15 files per clip
📢 What this repository is.
ADAS-TO-Sample contains every clip of six anonymized drivers from the full
ADAS-TO corpus. Paths, file schema and
anonymization are identical to the full dataset: any clip here exists at the same path in
HenryYHW/ADAS-TO.
For the full dataset (16,446 clips, ~41 GB)… See the full description on the dataset page: https://huggingface.co/datasets/HenryYHW/ADAS-TO-Sample.Car_plate_OCR_dataset
Russian car plate recognition dataset
Car_plate_OCR_dataset - это набор данных из примерно 45,5К изображений российских номеров автомобилей одного типа (рисунок 1) и их разметки в виде текста. Этот набор данных предназначен для обучения нейронных сетей распознаванию номера автомобиля по изображению номера.
Основан на датасете из проекта Nomeroff Net. По сравнению с оригинальным набором данных были удалены некоторые изображения не соответствующие формату разметки (которые имели иное… See the full description on the dataset page: https://huggingface.co/datasets/adasdaadadad/Car_plate_OCR_dataset.