depth-anything/DA-2K
DA-2K Evaluation Benchmark Introduction DA-2K is proposed in Depth Anything V2 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 for details in constructing this benchmark. Usage Please… See the full description on the dataset page: https://huggingface.co/datasets/depth-anything/DA-2K.
| Author / organization | depth-anything |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 514 (as reported by Hugging Face) |
| Likes | 17 |
| Created | 13 June 2024 |
| Last updated at source | 14 June 2024 |
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