datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CarlaOcc
Database_structure
CarlaOcc/
├── CarlaOccV1/
│ ├── calib/
│ │ └── calib.yaml
│ ├── splits/
│ │ ├── test.txt
│ │ ├── train.txt
│ │ └── val.txt
│ ├── SceneMeshes/
│ │ ├── fg_actors/
│ │ ├── fg_actor_occ/
│ │ └── TownXX_Opt/
│ │ ├── bg_actors/
│ │ └── bg_actor_occ/
│ ├── TownXX_Opt_SeqXX/
│ │ ├── poses/
│ │ │ ├── cam_00.txt
│ │ │ └── lidar.txt
│ │ ├── rgb/
│ │ │ ├── image_00/
│ │ │ │ ├── 0000.png… See the full description on the dataset page: https://huggingface.co/datasets/fengyi233/CarlaOcc.IPL-CARLA-dataset
IPL-CARLA-dataset
Autonomous driving semantic segmentation dataset created with CARLA (Cars Learning to Act) simulator.
Dataset information
Images are generated from two different simulated cities. They include different weather (sunny, foggy and rainy) and daytime (morning, day, sunset and night) conditions. It contains 20000 RGB-rendered images and their corresponding ground truth segmented masks. Segmentation ground truth masks have 35 different classes with colors… See the full description on the dataset page: https://huggingface.co/datasets/isp-uv-es/IPL-CARLA-dataset.CARLA_OOD
Dataset Card for Carla_OOD Dataset
Dataset Summary
The Carla_OOD Dataset, created using the CARLA v0.9.13 simulator, mimics the sensor configuration of the KITTI dataset with a Velodyne HDL64 LiDAR and cameras aligned with KITTI's Camera0. It is designed to advance research in anomaly detection and segmentation in autonomous systems, addressing challenges in handling unexpected multi-modal inputs.
Supported Tasks
The Carla_OOD Dataset can be used to compare… See the full description on the dataset page: https://huggingface.co/datasets/Mona4399/CARLA_OOD.carla-autopilot-multimodal-dataset
CARLA Autopilot Multimodal Dataset
This dataset contains synchronized multimodal driving data collected in the CARLA simulator using the autopilot feature. It provides RGB images from multiple cameras, semantic segmentation, LiDAR point clouds, 2D bounding boxes, and ego-vehicle state/control signals across varied weather, maps, and traffic densities.
The dataset is designed for research in autonomous driving, sensor fusion, imitation learning, and self-driving evaluation.… See the full description on the dataset page: https://huggingface.co/datasets/immanuelpeter/carla-autopilot-multimodal-dataset.CARLA_TLSRautonomous-driving-carla
CARLA Autonomous Driving Dataset
Custom datasets for autonomous driving in CARLA simulator
Created for CMPE 789 - Robot Perception at Rochester Institute of Technology
📊 Dataset Overview
This repository contains two custom-generated datasets from the CARLA 0.9.15 simulator for training autonomous driving perception models:
Dataset
Task
Images
Format
Size
YOLO Dataset
Object Detection
4,000
YOLOv8/v11
~1.2 GB
UFLD Dataset
Lane Detection
10,000… See the full description on the dataset page: https://huggingface.co/datasets/jkdxbns/autonomous-driving-carla.carla-ue5-maps
CARLA UE5 Autoware maps
Autoware maps for the CARLA towns as they exist in CARLA 0.10, the release that re-authored the towns in Unreal Engine 5. One directory per CARLA world.
The point cloud maps published for Autoware alongside the CARLA towns were recorded on CARLA 0.9. The 0.10 towns are new geometry, so those maps no longer describe the world a vehicle drives in. The point clouds here were recorded from CARLA 0.10 itself.
Contents
autoware_maps/
└──… See the full description on the dataset page: https://huggingface.co/datasets/AutowareFoundation/carla-ue5-maps.carla-nuscenescarla_hdpdm_carlacarla_data_60kcarla_car_body_maskcarla-autopilot-images
CARLA Autopilot Images Dataset
Note: A newer, extended version of this dataset is available.🤗 CARLA Autopilot Multimodal Dataset 🤗It includes semantic segmentation, LiDAR, 2D bounding boxes, and additional environment metadata.Use it if your research requires multimodal signals beyond the RGB images and vehicle state/control data provided here.
This dataset contains autonomous driving data collected from CARLA simulator using autopilot.
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/immanuelpeter/carla-autopilot-images.CARLA_e2e_autonomous_drivingcarlaSegUnshuffledHumanDrive-CARLA
G29-HumanDrive-CARLA-5Runs
Dataset Description
This dataset contains 70,308 samples collected in CARLA using a Logitech G29 steering wheel.
It includes one representative run from each town:
runs_01 → Town01
runs_02 → Town03
runs_03 → Town04
runs_04 → Town05
runs_05 → Town07
Each sample contains:
RGB image embedded in JPEG
semantic segmentation image embedded in PNG
steering command
throttle command
brake command
DAgger flag
town label
run identifier
frame identifier… See the full description on the dataset page: https://huggingface.co/datasets/roboticslaburjc/HumanDrive-CARLA.data-food-category-classification
Dataset for project: food-category-classification
Dataset Description
This dataset is for project food-category-classification.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<512x512 RGB PIL image>",
"target": 0
},
{
"image": "<512x512 RGB PIL image>",
"target": 0
}]
Dataset Fields
The dataset has… See the full description on the dataset page: https://huggingface.co/datasets/carlamanterola/data-food-category-classification.CarlaFollowLanePreviousV
CarlaFollowLanePreviousV
This dataset contains images extracted from CARLA simulator using an expert agent to perform imitation learning.
The expert agent is the autopilot of CARLA 0.9.12. We store images corresponding to the bird-eye-view of the camera and the corresponding control commands generated
by the agent, including the previous speed.
Dataset details
Folder
Scenario
Examples number
carla_dataset_16_11_clockwise_town_01_extreme_2
Town01
1582… See the full description on the dataset page: https://huggingface.co/datasets/sergiopaniego/CarlaFollowLanePreviousV.Carla_dataset_town10carla-expert-racing
URJC-DeepRacer: Autonomous Driving Dataset
This dataset was generated by Sergio Robledo as part of the URJC-DeepRacer project, focused on training and validating autonomous driving agents using Deep Learning and Reinforcement Learning techniques.
Data was collected using the CARLA Simulator, featuring DeepRacer vehicle models and custom-designed racing environments.
📊 Dataset Overview
Each entry provides a synchronized capture of the front-facing RGB camera, its… See the full description on the dataset page: https://huggingface.co/datasets/urjc-deepracer/carla-expert-racing.carla_datasetwoman-carlaFullcarla-womanDDDcarla_image_to_text_datasetphysense_carla_dataset
PhySense CARLA Synthesized Dataset
Dataset Summary
This dataset is the CARLA-synthesized traffic dataset used in PhySense: Defending Physically Realizable Attacks for Autonomous Systems via Consistency Reasoning, CCS ’24. It is generated using the CARLA simulator and CARLA PythonAPI.
Source / Collection
The dataset is synthesized in CARLA. Instructions and scripts to reproduce/collect the dataset are provided in the accompanying GitHub repository:
Collection… See the full description on the dataset page: https://huggingface.co/datasets/Ruoyao/physense_carla_dataset.woman-carla-facecarla-nuscenes-dataconstellation_urban_intersection_dataset_carlacarlaSegTestBenchmarkcarla_image_and_path