Datasets › BDD100K-weather(OOD Setting)
BDD100K-weather(OOD Setting)
BDD100K-weather is a dataset which is inherited from BDD100K using image attribute labels for Out-of-Distribution object detection. All images in BDD100K are categorized into six domains, including clear, overcast, foggy, partly cloudy, rainy and snowy. Clear and overcast are used for training while the rest is used for testing, moreover, per training domain is sampled 1.5k images at most while per testing domain is sampled 0.5k images at most. Thus, we have BDD100K-weather (paper is under review).
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
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License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
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Variants archive 2025-07-28
- BDD100K-weather(OOD Setting)
1 variant name, as the archive lists them.
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