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README.md
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license: apache-2.0
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tags:
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- underwater-laser-imaging
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- 3d-point-cloud
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- lidar
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- streak-tube-camera
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# StreakNet-Dataset
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<div align="center"><img src="https://github.com/BestAnHongjun/StreakNet/blob/main/assets/overview.jpg?raw=true"></div>
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**StreakNet-Dataset** is an underwater laser imaging dataset for **UCLR** systems, introduced in the paper [StreakNet-Arch: An Anti-scattering Network-based Architecture for Underwater Carrier LiDAR-Radar Imaging](https://huggingface.co/papers/2404.09158). It comprises a collection of streak-tube images captured by a **UCLR** system at distances of 10m, 13m, 15m, and 20m, contributing 2,695,168 real-world underwater 3D point cloud data.
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For the associated source code, models, and comprehensive usage instructions, please refer to the [GitHub repository](https://github.com/BestAnHongjun/StreakNet).
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See the table below to learn more details of the dataset.
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|Distance|Number of streak-tube images|Resolution of streak-tube images|Data type|Training set|Validation set|Test set|
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| |- data # Original streak images
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| | |- 001.tif
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| | |- 002.tif
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| | |- ...
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| |- groundtruth.npy # The ground-truth of the final imaged image
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|- test_config.yaml # The config file of test-set
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|- train_config.yaml # The config file of training-set
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|- valid_config.yaml # The config file of validation-set
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```
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license: apache-2.0
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image:
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underwater laser imaging
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# StreakNet-Dataset
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**StreakNet-Dataset** is an underwater laser imaging dataset for **UCLR** systems. It comprises a collection of streak-tube images captured by a **UCLR** system at distances of 10m, 13m, 15m, and 20m. See the table below to learn more details of the dataset.
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|Distance|Number of streak-tube images|Resolution of streak-tube images|Data type|Training set|Validation set|Test set|
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|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
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| |- data # Original streak images
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| | |- 001.tif
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| | |- 002.tif
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| | |- 003.tif
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| | |- ...
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| |- groundtruth.npy # The ground-truth of the final imaged image
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|- test_config.yaml # The config file of test-set
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|- train_config.yaml # The config file of training-set
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|- valid_config.yaml # The config file of validation-set
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```
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