Research Datasets

Access our curated datasets for autonomous vehicle training, real-world driving scenarios, and edge case data collection. Free, ethical, and community-driven data for researchers worldwide.

15+
Public Datasets
5.2TB
Total Data Size
25+
Driving Scenarios
1M+
Downloads

Ethical Guidelines

Our commitment to responsible data collection and distribution

Consent & Privacy

All data collected with informed consent and privacy protection.

Local Adaptation

Data adapted to local driving conditions and infrastructure.

Safety First

Datasets designed to improve autonomous vehicle safety and reliability.

Open Access

Free access for academic research and non-commercial use.

Browse by Category

Featured Datasets

Computer VisionActiveCC BY-SA 4.0

DeepUbuntuAV Rural America Dataset

Comprehensive autonomous vehicle training dataset covering diverse rural driving scenarios across America and emerging markets.

Dataset Info:

Size:2.3TB
Scenarios:24
Samples:50M+
Updated:2024-01-15

Key Features:

Rural road conditions
Mixed traffic scenarios
Weather variations
Infrastructure challenges

Supported Tasks:

Object DetectionLane RecognitionTraffic Sign RecognitionPedestrian Detection
Computer Vision
Edge CasesActiveCC BY-NC 4.0

DeepUbuntuAV Edge Case Dataset

Specialized dataset focusing on challenging driving scenarios and edge cases for autonomous vehicle safety.

Dataset Info:

Size:1.8TB
Scenarios:15
Samples:2M+
Updated:2024-01-12

Key Features:

Rare traffic scenarios
Adverse weather conditions
Infrastructure failures
Emergency situations

Supported Tasks:

Object DetectionAnomaly DetectionRisk AssessmentEmergency Response
Edge Cases
LidarActiveCC BY 4.0

DeepUbuntuAV Lidar Dataset

High-resolution lidar point cloud dataset for autonomous vehicle perception and mapping.

Dataset Info:

Size:856GB
Scenarios:12
Samples:100K+
Updated:2024-01-10

Key Features:

High-resolution point clouds
Multi-sensor fusion
Precise annotations
Real-world scenarios

Supported Tasks:

3D Object DetectionPoint Cloud SegmentationSLAMPath Planning
Lidar
SimulationActiveCC BY-SA 4.0

DeepUbuntuAV Simulation Dataset

Synthetic dataset for autonomous vehicle testing and validation in virtual environments.

Dataset Info:

Size:45GB
Scenarios:8
Samples:500K+
Updated:2024-01-08

Key Features:

Synthetic scenarios
Controlled environments
Rapid iteration
Cost-effective testing

Supported Tasks:

Simulation TestingValidationPerformance AnalysisSafety Assessment
Simulation
Computer VisionActiveMIT

DeepUbuntuAV Benchmark Suite

Comprehensive evaluation benchmark for autonomous vehicle perception and control systems.

Dataset Info:

Size:12GB
Scenarios:15
Samples:250K+
Updated:2024-01-05

Key Features:

15 driving scenarios
Standardized evaluation
Multiple tasks
Reproducible results

Supported Tasks:

Object DetectionLane DetectionTraffic Sign RecognitionPath Planning
Computer Vision
Computer VisionActiveCC BY-NC-SA 4.0

DeepUbuntuAV Multi-Modal Dataset

Multi-sensor dataset combining camera, lidar, and radar data for comprehensive autonomous vehicle perception.

Dataset Info:

Size:180GB
Scenarios:8
Samples:1M+
Updated:2024-01-03

Key Features:

Multi-sensor fusion
Camera + Lidar + Radar
Synchronized data
Comprehensive annotations

Supported Tasks:

Sensor FusionMulti-Modal DetectionLocalizationMapping
Computer Vision

How to Access

Simple steps to access our datasets for your research

1

Browse

Explore our dataset catalog and find the data you need

2

Request

Fill out the access request form with your research details

3

Review

Our team reviews your request (usually within 48 hours)

4

Access

Receive download links and start your research

Ready to Start Research?

Access our datasets and join the growing community of researchers working on autonomous vehicle technology.