datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
LiDAR-LLM-Nu-Caption
Dataset Details
Dataset type:
This is the nu-Caption dataset, a QA dataset designed for training MLLM models on caption tasks in autonomous driving scenarios. It is built upon the NuScenes dataset.
Dataset keys:
"answer" is the output of the VLM models using image data. "answer_lidar" uses GPT4O-mini to filter information that cannot be obtained from the image data.
If you want to train the model like LiDAR-LLM, which only uses the LiDAR modality and does not use the vision modality… See the full description on the dataset page: https://huggingface.co/datasets/Senqiao/LiDAR-LLM-Nu-Caption.LiDAR-LLM-Nu-Grounding
Dataset Details
Dataset type:
This is the nu-Grounding dataset, a QA dataset designed for training MLLM models for grounding in autonomous driving scenarios. This QA dataset is built upon the NuScenes dataset.
Where to send questions or comments about the dataset:
https://github.com/Yangsenqiao/LiDAR-LLM
Project Page:
https://sites.google.com/view/lidar-llm
Paper:
https://arxiv.org/abs/2312.14074
tartanground_lidarminuszero-indian-autonomous-driving-multicam-lidar
Minus Zero Indian Urban Autonomous Driving Dataset - Multicamera LiDAR
Overview
This dataset provides original multicamera autonomous-driving recordings with LiDAR in MCAP format. It is designed for non-commercial research on camera and LiDAR perception, sensor synchronization, H.265 video pipelines, localization, GNSS/pose integration, and robotics data tooling.
The dataset is public for personal, educational, and research use under CC BY-NC 4.0. Commercial use… See the full description on the dataset page: https://huggingface.co/datasets/gagandeepreehal/minuszero-indian-autonomous-driving-multicam-lidar.douvras-lidar-risk-synthetic
Douvras LiDAR Risk Synthetic v0.1
Benchmark tabular sintético de risco em corredores LiDAR. Cada linha representa
estatísticas resumidas de uma cena (clearance, densidade de pontos, vegetação e fios) e
um rótulo low, attention, warning ou critical produzido por uma regra explícita.
As cenas são disjuntas entre train, validation e test (36/12/12 registros). Não há
imagens aéreas, nuvens de pontos de clientes ou dados TTPLA neste release. O benchmark
serve para validar o pipeline… See the full description on the dataset page: https://huggingface.co/datasets/dougdotcon/douvras-lidar-risk-synthetic.lidar_imu_odometrynuscenes_lidarseglidargen_voxelNuScenes_LidarBevla-florida-parishes-lidarpower_line_lidar_data_testnusc_bev-lidarav2_bev-lidarLiDAR-Registration-Benchmarklidar-nuscenes-reasoningnuage-de-points-lidar-2023-de-la-metropole-de-lyon
Nuage de points LiDAR 2023 de la Métropole de Lyon
Source
Source officielle : https://www.data.gouv.fr/datasets/nuage-de-points-lidar-2023-de-la-metropole-de-lyon
Identifiant du jeu de données data.gouv.fr : 67f59d2966c82acad240a1cb
Slug data.gouv.fr : nuage-de-points-lidar-2023-de-la-metropole-de-lyon
Licence indiquée dans les métadonnées data.gouv.fr : lov2
Structure Hugging Face
Un jeu de données data.gouv.fr = un dépôt Hugging Face
Une… See the full description on the dataset page: https://huggingface.co/datasets/Data-Gouv-ML/nuage-de-points-lidar-2023-de-la-metropole-de-lyon.lidar-reasoning-250k