DAVIS Driving Dataset 2017
DDD17 has over 12 h of a 346x260 pixel DAVIS sensor recording highway and city driving in daytime, evening, night, dry and wet weather conditions, along with vehicle speed, GPS position, driver steering, throttle, and brake captured from the car's on-board diagnostics interface.
Source: DDD17: End-To-End DAVIS Driving Dataset
Image Source: DVS Driving Dataset 2017 (DDD17) README
Variants: DDD17
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Semantic Segmentation | BRENet | Rethinking RGB-Event Semantic Segmentation with … | 2025-05-02 |
| Semantic Segmentation | CMNeXt | Delivering Arbitrary-Modal Semantic Segmentation | 2023-03-02 |
| Semantic Segmentation | HALSIE | HALSIE: Hybrid Approach to Learning … | 2022-11-19 |
| Semantic Segmentation | SegNeXt-B | SegNeXt: Rethinking Convolutional Attention Design … | 2022-09-18 |
| Semantic Segmentation | ESS | ESS: Learning Event-based Semantic Segmentation … | 2022-03-18 |
| Semantic Segmentation | CMX | CMX: Cross-Modal Fusion for RGB-X … | 2022-03-09 |
| Semantic Segmentation | EDCNet-S2D | Exploring Event-driven Dynamic Context for … | 2021-12-09 |
| Semantic Segmentation | SegFormer-B2 | SegFormer: Simple and Efficient Design … | 2021-05-31 |
| Semantic Segmentation | EV-SegNet | EV-SegNet: Semantic Segmentation for Event-based … | 2018-11-29 |
Recent papers with results on this dataset: