jkdxbnsMIT
CARLA Autonomous Driving Dataset
Custom-generated datasets from CARLA 0.9.15 simulator containing 4,000 images for YOLO object detection and 10,000 images for UFLD lane detection tasks. Includes annotations for vehicles, pedestrians, traffic lights, speed limit signs, and lane boundaries.
Downloads169
Episodes14000
Why This Matters for Physical AI
This dataset enables training and benchmarking of perception models for autonomous driving in controlled simulation environments, supporting research in object detection, lane detection, and simulation-to-real transfer learning.
Technical Profile
- Modalities
- rgb
- Robot Embodiments
- autonomous_vehicle
- Environment
- simulation
- Task Types
- object_detectionlane_detection
- Episodes
- 14000
- Data Format
- YOLO and TuSimple-like
- Annotation Types
- bounding_boxespolyline_annotationssegmentation
- License
- MIT
Community Signals
Top 50% by downloads
HuggingFace Discussions1
Access
Need custom rgb data?
Claru builds purpose-built datasets for simulation applications with dense human annotations and quality assurance.
Request a Sample Pack