The "Rainy Dash Cam Video Dataset" is specifically developed for autonomous driving systems to accurately function under rainy conditions, which pose significant visibility and surface traction challenges. Captured with driving recorders at resolutions exceeding 1920 x 1080 pixels and a frame rate of more than 30 fps, this dataset focuses on rainy day scenarios in urban settings, including crossroads, avenues, and paths. It features bounding boxes and tags for over 10 common urban categories such as humans, cars, electric bicycles, vans, and trucks, under the variable and often difficult lighting conditions that accompany rainy weather.
If you has interested in the full version of the datasets, featuring 6.4k annotated images, please visit our website maadaa.ai and leave a request.
| Dataset ID | MD-Auto-012 |
|---|---|
| Dataset Name | Rainy Dash Cam Video Dataset |
| Data Type | Image |
| Volume | About 6.4k annotated images |
| Data Collection | Driving Recorders Images. Resolution is over 1920 x 1080 and the number of frames per second of the video is over 30. |
| Annotation | Bounding Box,Tags |
| Annotation Notes | Mainly from rainy days, crossroad,avenues and paths as the main scene. The labels include human, car,electric bicycle,van,truck etc. |
| Application Scenarios | Autonomous Driving |
Since 2015, maadaa.ai has been dedicated to delivering specialized AI data services. Our key offerings include:
-
Data Collection: Comprehensive data gathering tailored to your needs.
-
Data Annotation: High-quality annotation services for precise data labeling.
-
Off-the-Shelf Datasets: Ready-to-use datasets to accelerate your projects.
-
Annotation Platform: Maid-X is our data annotation platform built for efficient data annotation.
We cater to various sectors, including automotive, healthcare, retail, and more, ensuring our clients receive the best data solutions for their AI initiatives.