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---
license: apache-2.0
image:
underwater laser imaging
---
# StreakNet-Dataset
**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.
|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
| | |- 003.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
```
|