๐ฌTechnical Deep Dive
Full Specifications [+]
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Dataset Specification
license: apache-2.0
task_categories:
- object-detection
language: - en
pretty_name: 'SimData-NuScenes: Synthetic Autonomous Driving Dataset'
size_categories: - 100B<n<1T
Dataset Card for Dataset Name
SimData-NuScenes is a large-scale synthetic dataset generated from high-fidelity simulation environments using aiSim.
By leveraging aiSim's advanced physics engine and deterministic sensor modeling, we ensure that every frame maintains high-quality visual fidelity and physical accuracy. This makes the dataset particularly effective for training and validating perception algorithms where precision is paramount.
The dataset follows the NuScenes format (v1.0-custom) and covers diverse environments including highways, complex urban areas, and parking lots across different geographic styles (US, Europe, Japan).
Dataset Details
Key Features
- Format: Fully compatible with the
nuscenes-devkit. - Scale: Contains 45 scenes derived from 15 distinct maps.
- Diversity: Covers Highway, Urban, and Parking scenarios.
- Volume: Approximately 18,000+ frames per sensor (Camera/LiDAR).
Sensor Layout
Overview
6 annotated surround-view camera images and BEV ground truth with LiDAR point clouds.
Dataset Statistics (็ป่ฎกๆฐๆฎ)
The dataset metadata is organized as follows:
| Metric | Count |
|---|---|
| Total Logs/Scenes | 45 |
| Maps | 15 |
| Annotated Samples (Keyframes) | 1,796 |
| Sample Data (Total Frames) | 215,472 |
| Total Annotations | 64,190 |
| Ego Poses | 17,956 |
| Categories | 10 |
| Sensors | 12 (Cameras, LiDARs, Radar) |
Object Categories (ๆ ๆณจ็ฑปๅซ)
The dataset includes 3D bounding box annotations for the following 10 classes:
CarTruckBusVanTrailerPedestrianMotorcycleBicycleTrafficConeBarricade
Scenarios & Maps (ๅบๆฏไธๅฐๅพ่ฏฆๆ )
The dataset is constructed from 15 high-definition maps, categorized into three main environment types. Each map contains approximately 3 scenarios.
๐ฃ๏ธ Highway Environments
| Map Name | Description |
|---|---|
| Highway_US-CA_SR85Sunnyvale | US Highway scenario (SR85), sunny/clear weather. |
| Highway_US-CA_Construction | Highway construction zone with barriers and cones. |
| Highway_HU_Godollo | European style highway environment. |
| Highway_US-CA_230Junipero | Junipero Serra West Walley highway section. |
๐๏ธ Urban Environments
| Map Name | Description |
|---|---|
| Urban_US-CA_SanFranciscoCity | Dense urban downtown environment (SF style). |
| Urban_US-CA_SF_OuterSunset | Residential/Suburban area in San Francisco. |
| Urban_HU_R7BudafokRoundabout | European urban scene featuring a roundabout. |
| Urban_Synth_USCity | Synthetic US city with crowded traffic (US_CrowdedCity). |
| Urban_Synth_USCrossingStreet | Urban intersection and crossing scenarios. |
| Urban_Synth_JapanCity | Japanese style urban environment (LHT - Left Hand Traffic). |
| Parking_Synth_UrbanSpots_LHT | Urban street parking scenarios. |
๐ ฟ๏ธ Parking Environments
| Map Name | Description |
|---|---|
| Parking_US-CA_SanJoseMall | Indoor garage environment. |
| Parking_US-CA_SanJoseAlamitos | Outdoor parking lot scenario. |
How to Use (ไฝฟ็จๆนๆณ)
Since this dataset follows the NuScenes schema, you can use the standard nuscenes-devkit to load and visualize the data.
Installation
pip install nuscenes-devkit
AI Summary: Based on Hugging Face metadata. Not a recommendation.
๐ก๏ธ Dataset Transparency Report
Verified data manifest for traceability and transparency.
๐ Identity & Source
- id
- hf-dataset--keymotek--simdata-dataset
- source
- huggingface
- author
- Keymotek
- tags
- task_categories:object-detectionlanguage:enlicense:apache-2.0size_categories:100b
โ๏ธ Technical Specs
- architecture
- null
- params billions
- null
- context length
- null
๐ Engagement & Metrics
- likes
- 0
- downloads
- 116,605
Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)