---
license: apache-2.0
---

<p align="center">
  <img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b95b1cfd-4ab9-4e79-a1f7-f5bf7acd3564/original=true,quality=90/ComfyUI_01346_.jpeg" alt="CivitFish" width="200"/>
</p>

# Hed2CoralReef_Annotation Dataset

## Overview
This dataset contains 801 [SDXL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)-generated coral reef images and their associated Holistically-Nested Edge Detections (HED). The robot images were created using [SDXL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) and the Underwater Environment v01 lora by PrivateHindsight on CivitAi: [PrivateHindsight/Underwater_Environment_v01](https://civitai.com/models/561874?modelVersionId=625879)

## Dataset Contents
- 801 coral reef images generated with [SDXL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)
- 801 corresponding Holistically-Nested Edge Detection maps created with this great implementation with pytorch by sniklaus: [sniklaus/pytorch-hed](https://github.com/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](https://github.com/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}
}
```