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Coder-AN/StreakNet-Dataset

StreakNet-Dataset 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. 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… See the full description on the dataset page: https://huggingface.co/datasets/Coder-AN/StreakNet-Dataset.

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Dataset Card

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. 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.

See the table below to learn more details of the dataset.

DistanceNumber of streak-tube imagesResolution of streak-tube imagesData typeTraining setValidation setTest set
10m4002048x2048uint16315,20040,800819,200
13m3492048x2048uint16281,99247,530714,752
15m3002048x2048uint16245,40039,200614,400
20m2672048x2048uint16229,08631,240546,816

Download

You can download StreakNet-Dataset for free from HuggingFace or ModelScope 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.

sh
cd StreakNet
git clone https://huggingface.co/datasets/Coder-AN/StreakNet-Dataset ./datasets
sh
cd StreakNet
git clone https://www.modelscope.cn/datasets/CoderAN/StreakNet-Dataset.git ./datasets

Organizational Structure

After downloading StreakNet-Dataset from HuggingFace or ModelScope, 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