Joint-ID Dataset

     We tried to form a synthetic dataset with depth D ∈ [1.5, 3, 5, 7.5, 10, 15] according to the water types in 'Inherent optical properties of Jerlov water types' paper. For water types I, IA, and IB, the depth was [3, 5, 7.5, 10, 15]. For type II, the depth was [3, 5, 7.5, 10]. For III and IC types, the depth was [3, 5, 7.5]. For 3C and 5C, the depth was [3, 5]. Finally, for 9C, it was [1.5, 3]. The ground dataset used was a dataset with an object detail called 'diml'. A total of 48 000 synthetic data were generated, of which 47,000 were selected for the training set and 1,000 for the test set.

     This dataset was created through distortion optical modeling, and has Enhanced Images and Dense Depth Images as ground truth. This dataset will be of great help to those working on Underwater Depth Estimation and Underwater Image Enhancement.

@article{yang2023joint,

  title={Joint-ID: Transformer-based Joint Image Enhancement and Depth Estimation for Underwater Environments},

  author={Yang, Geonmo and Kang, Gilhwan and Lee, Juhui and Cho, Younggun},

  journal={IEEE Sensors Journal},

  year={2023},

  publisher={IEEE}

}