The "Cloudy Day Crossroad Dash Cam Video Dataset" specifically captures the intricate dynamics of crossroad navigation under cloudy weather conditions. This dataset is filmed with high-resolution driving recorders, boasting resolutions over 1920 x 1080 pixels and a frame rate of more than 32 fps, to ensure clarity and detail even in subdued lighting. It annotates more than 10 typical urban object categories, including humans, cars, electric bicycles, vans, and trucks, amidst the unique challenges presented at crossroads during cloudy days. The dataset is an essential resource for developing autonomous driving systems capable of understanding and reacting appropriately to complex urban intersections, especially when visibility is affected by overcast skies.
If you has interested in the full version of the datasets, featuring 2400 annotated images, please visit our website maadaa.ai and leave a request.
| Dataset ID | MD-Auto-010 |
|---|---|
| Dataset Name | Cloudy Day Crossroad Dash Cam Video Dataset |
| Data Type | Image |
| Volume | About 2.4k 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 32. |
| Annotation | Bounding Box,Tags |
| Annotation Notes | Total more than 10 typical object categories, such as human, car, electric bicycle,van,truck etc. |
| Application Scenarios | Autonomous Driving |
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