| --- |
| license: apache-2.0 |
| task_categories: |
| - image-to-3d |
| tags: |
| - underwater-laser-imaging |
| - 3d-point-cloud |
| - lidar |
| - streak-tube-camera |
| --- |
| |
| # StreakNet-Dataset |
|
|
| <div align="center"><img src="https://github.com/BestAnHongjun/StreakNet/blob/main/assets/streaknet_logo.png?raw=true" width="400"></div><br> |
| <div align="center"><img src="https://github.com/BestAnHongjun/StreakNet/blob/main/assets/overview.jpg?raw=true"></div> |
|
|
| **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. |
|
|
| For the associated source code, models, and comprehensive usage instructions, please refer to the [GitHub repository](https://github.com/BestAnHongjun/StreakNet). |
|
|
| See the table below to learn more details of the dataset. |
|
|
| |Distance|Number of streak-tube images|Resolution of streak-tube images|Data type|Training set|Validation set|Test set| |
| |:---:|:---:|:---:|:---:|:---:|:---:|:---:| |
| |10m|400|2048x2048|uint16|315,200|40,800|819,200| |
| |13m|349|2048x2048|uint16|281,992|47,530|714,752| |
| |15m|300|2048x2048|uint16|245,400|39,200|614,400| |
| |20m|267|2048x2048|uint16|229,086|31,240|546,816| |
|
|
| ### Download |
|
|
| 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. |
|
|
| Firstly, install `git-lfs`. |
|
|
| ```sh |
| curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash |
| sudo apt update |
| sudo apt install git-lfs |
| sudo git lfs install --system |
| ``` |
|
|
| Then, download **StreakNet-Dataset** in work directory of StreakNet. |
|
|
| * From [HuggingFace](https://huggingface.co/datasets/Coder-AN/StreakNet-Dataset): For Global Users |
|
|
| ```sh |
| cd StreakNet |
| git clone https://huggingface.co/datasets/Coder-AN/StreakNet-Dataset ./datasets |
| ``` |
|
|
| * From [ModelScope](https://modelscope.cn/datasets/CoderAN/StreakNet-Dataset): For Chinese Users |
|
|
| ```sh |
| cd StreakNet |
| git clone https://www.modelscope.cn/datasets/CoderAN/StreakNet-Dataset.git ./datasets |
| ``` |
|
|
| ### Organizational Structure |
|
|
| 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. |
|
|
| ```sh |
| datasets |
| |- clean_water_10m # The directory of data taken at a distance of 10m |
| | |- data # Original streak images |
| | | |- 001.tif |
| | | |- 002.tif |
| | | |- ... |
| | | |
| | |- groundtruth.npy # The ground-truth of the final imaged image |
| | |- preview.jpg # A preview of the ground-truth |
| | |
| |- clean_water_13m # The directory of data taken at a distance of 13m (has the same structure as 10m) |
| |- clean_water_15m # The directory of data taken at a distance of 15m (has the same structure as 10m) |
| |- clean_water_20m # The directory of data taken at a distance of 20m (has the same structure as 10m) |
| |- template.npy # The 1-D time sequence of the template signal |
| |- test_config.yaml # The config file of test-set |
| |- train_config.yaml # The config file of training-set |
| |- valid_config.yaml # The config file of validation-set |
| ``` |
