Improve dataset card: Add task category, tags, paper, and code links (#2)

- Improve dataset card: Add task category, tags, paper, and code links (86d5a5f03318cb9928c0e30ff7f85a18f9b320e3)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,12 +1,24 @@
 ---
 license: apache-2.0
-image:
-   underwater laser imaging
+task_categories:
+- image-to-3d
+tags:
+- underwater-laser-imaging
+- 3d-point-cloud
+- lidar
+- streak-tube-camera
 ---
 
 # 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.
+<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|
 |:---:|:---:|:---:|:---:|:---:|:---:|:---:|
@@ -54,7 +66,6 @@ datasets
     |   |- data             # Original streak images
     |   |   |- 001.tif
     |   |   |- 002.tif
-    |   |   |- 003.tif
     |   |   |- ...
     |   |
     |   |- groundtruth.npy  # The ground-truth of the final imaged image
@@ -67,4 +78,4 @@ datasets
     |- 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
-```
+```