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Lihe Yang
2024-06-14 09:29:18 +08:00
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DA-2K.md
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DA-2K is proposed in [Depth Anything V2](https://depth-anything-v2.github.io) to evaluate the relative depth estimation capability. It encompasses eight representative scenarios of `indoor`, `outdoor`, `non_real`, `transparent_reflective`, `adverse_style`, `aerial`, `underwater`, and `object`. It consists of 1K diverse high-quality images and 2K precise pair-wise relative depth annotations.
Please refer to our [paper](https://depth-anything-v2.github.io) for details in constructing this benchmark.
Please refer to our [paper](https://arxiv.org/abs/2406.09414) for details in constructing this benchmark.
## Usage
Please first [download the benchmark]().
All annotations are stored in [annotations.json](./annotations.json). The annotation file is a JSON object where each key is the path to an image file, and the value is a list of annotations associated with that image. Each annotation describes two points and identifies which point is closer to the camera. The structure is detailed below:
All annotations are stored in `annotations.json`. The annotation file is a JSON object where each key is the path to an image file, and the value is a list of annotations associated with that image. Each annotation describes two points and identifies which point is closer to the camera. The structure is detailed below:
```
{
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@article{depth_anything_v2,
title={Depth Anything V2},
author={Yang, Lihe and Kang, Bingyi and Huang, Zilong and Zhao, Zhen and Xu, Xiaogang and Feng, Jiashi and Zhao, Hengshuang},
journal={arXiv preprint arXiv:},
journal={arXiv:2406.09414},
year={2024}
}
```