metadata
license: apache-2.0
Hed2CoralReef_Annotation Dataset
Overview
This dataset contains 801 SDXL-generated coral reef images and their associated Holistically-Nested Edge Detections (HED). The robot images were created using SDXL and the Underwater Environment v01 lora by PrivateHindsight on CivitAi: PrivateHindsight/Underwater_Environment_v01
Dataset Contents
- 801 coral reef images generated with SDXL
- 801 corresponding Holistically-Nested Edge Detection maps created with this great implementation with pytorch by sniklaus: sniklaus/pytorch-hed
- Paired data suitable for image-to-image translation tasks
Use Cases
This dataset is designed for:
- Training HED 2 Image cycleGAN models with my dataset annotators, training notebooks, & inference tools at Leoleojames1/CycleGANControlNet2Anything
Citation
If you use this dataset in your research, please cite:
@misc{borcherding2025depth2anything,
title={Hed2CoralReef Annotations},
author={Borcherding},
year={2025},
howpublished={\url{https://huggingface.co/datasets/Borcherding/Hed2CoralReef_Annotation}}
}
Model Attributions
When using this dataset, please also cite the original models:
SDXL:
@misc{SDXL,
title={Underwater Environment v01},
author={StabilityAI},
year={2025},
howpublished={\url{https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0}}
}
pytorch-hed:
@misc{pytorch-hed,
author = {Simon Niklaus},
title = {A Reimplementation of {HED} Using {PyTorch}},
year = {2018},
howpublished = {\url{https://github.com/sniklaus/pytorch-hed}}
}
Holistically-Nested Edge Detection:
@inproceedings{Xie_ICCV_2015,
author = {Saining Xie and Zhuowen Tu},
title = {Holistically-Nested Edge Detection},
booktitle = {IEEE International Conference on Computer Vision},
year = {2015}
}