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--- |
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license: apache-2.0 |
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task_categories: |
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- image-to-3d |
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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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--- |
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# StreakNet-Dataset |
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<div align="center"><img src="https://github.com/BestAnHongjun/StreakNet/blob/main/assets/streaknet_logo.png?raw=true" width="400"></div><br> |
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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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|:---:|:---:|:---:|:---:|:---:|:---:|:---:| |
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|10m|400|2048x2048|uint16|315,200|40,800|819,200| |
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|13m|349|2048x2048|uint16|281,992|47,530|714,752| |
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|15m|300|2048x2048|uint16|245,400|39,200|614,400| |
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|20m|267|2048x2048|uint16|229,086|31,240|546,816| |
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### Download |
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You can download **StreakNet-Dataset** for free from [HuggingFace](https://huggingface.co/datasets/Coder-AN/StreakNet-Dataset) or [ModelScope](https://modelscope.cn/datasets/CoderAN/StreakNet-Dataset/) by Git. |
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Firstly, install `git-lfs`. |
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```sh |
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curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash |
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sudo apt update |
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sudo apt install git-lfs |
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sudo git lfs install --system |
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``` |
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Then, download **StreakNet-Dataset** in work directory of StreakNet. |
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* From [HuggingFace](https://huggingface.co/datasets/Coder-AN/StreakNet-Dataset): For Global Users |
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```sh |
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cd StreakNet |
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git clone https://huggingface.co/datasets/Coder-AN/StreakNet-Dataset ./datasets |
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``` |
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* From [ModelScope](https://modelscope.cn/datasets/CoderAN/StreakNet-Dataset): For Chinese Users |
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```sh |
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cd StreakNet |
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git clone https://www.modelscope.cn/datasets/CoderAN/StreakNet-Dataset.git ./datasets |
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``` |
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### Organizational Structure |
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After downloading **StreakNet-Dataset** from [HuggingFace](https://huggingface.co/datasets/Coder-AN/StreakNet-Dataset) or [ModelScope](https://modelscope.cn/datasets/CoderAN/StreakNet-Dataset/), you will see the following directory structure. |
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```sh |
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datasets |
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|- clean_water_10m # The directory of data taken at a distance of 10m |
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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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| | |
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| |- groundtruth.npy # The ground-truth of the final imaged image |
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| |- preview.jpg # A preview of the ground-truth |
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|- clean_water_13m # The directory of data taken at a distance of 13m (has the same structure as 10m) |
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|- clean_water_15m # The directory of data taken at a distance of 15m (has the same structure as 10m) |
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|- clean_water_20m # The directory of data taken at a distance of 20m (has the same structure as 10m) |
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|- template.npy # The 1-D time sequence of the template signal |
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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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``` |
