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README.md
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LostAndFoundDataset
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The LostAndFound Dataset addresses the problem of detecting unexpected small obstacles on the road often caused by lost cargo.
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The following packages are available for download:
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gtCoarse.zip (37MB) annotations for train and test sets (2104 annotated images)
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disparity.zip (1.4GB) depth maps using Semi-Global Matching for train and test set (2104 images)
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timestamp.tgz (50kB) timestamps for train and test sets
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camera.zip (1MB) Intrinsic and extrinsic camera parameters for train and test sets
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vehicle.zip (1MB) vehicle odometry data (speed and yaw rate) for train and test sets
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The LostAndFound dataset may be used according to the following license agreement:
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# LostAndFoundDataset
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_The original site is down and it is very difficult to find this data elsewhere. This is an unofficial mirror._
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- Original Website: https://sites.google.com/a/6d-vision.com/www/current-research/lostandfounddataset
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The LostAndFound Dataset addresses the problem of detecting unexpected small obstacles on the road often caused by lost cargo.
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The following packages are available for download:
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* gtCoarse.zip (37MB) annotations for train and test sets (2104 annotated images)
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* leftImg8bit.zip (6GB) left 8-bit images - train and test set (2104 images)
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* rightImg8bit.zip (6GB) right 8-bit images - train and test set (2104 images)
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* leftImg16bit.zip (17GB) right 16-bit images - train and test set (2104 images)
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* rightImg16bit.zip (17GB) right 16-bit images - train and test set (2104 images)
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* disparity.zip (1.4GB) depth maps using Semi-Global Matching for train and test set (2104 images)
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* timestamp.tgz (50kB) timestamps for train and test sets
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* camera.zip (1MB) Intrinsic and extrinsic camera parameters for train and test sets
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* vehicle.zip (1MB) vehicle odometry data (speed and yaw rate) for train and test sets
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The LostAndFound dataset may be used according to the following license agreement:
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