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This dataset consists of various road surface objects taken from various viewpoints, different tools, and environmental conditions
The purpose of this dataset is to provide a benchmark/groundtruth of RSO for few-shot learning purposes. The samples of the dataset will be updated from time to time. All samples are in image format.
The purpose of this dataset is to provide a benchmark/groundtruth of RSO for few-shot learning purposes. The samples of the dataset will be updated from time to time. All samples are in image format.
Speed Bump (798 images)
The dataset consists of four classes: speed bumps, rumble strips, arrow, zebra crossing , and miscellaneous,
Arrow (600 images)
Rumble strips (649 images)
Zebra crossing (19 images)
Misc (141 images)
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