Published July 4, 2024
| Version v1
Dataset
Open
Landscape scenicness prompts
Authors/Creators
Description
Reproduction repository for the paper titled "Prompt-guided and multimodal landscape scenicness assessments with vision-language models". This repo contains the following files:
- Prompts collected by our crowdsourcing effort
- CLIP-and SigLIP extracted embeddings of ScenicOrNot images
- Splits used for few-shot learning
- GeoJSON file containing geotagged ScenicOrNot labels for each image
The original ScenicOrNot images are hosted by Geograph, whose license terms do not allow re-sharing of the images. Instead, we make the embeddings used in our study available and provide scripts to download the original images on our Github repository, which also contains the code used for this study. Alternatively, please contact the authors for a copy of the SON images.
Files
scenicness_prompts.csv
Files
(1.5 GB)
| Name | Size | |
|---|---|---|
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md5:6c7e3d62e2360191cd042d5fc073da49
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714.6 MB | Download |
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md5:0e0ff4777e1f88cd4c7c31884cce34d4
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714.6 MB | Download |
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md5:44f185e8576cda6c2be066c4b4c8f57a
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8.1 kB | Preview Download |
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md5:8dd0db96ca03c6ff3eaf6f9ea1edd7bc
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75.5 MB | Preview Download |
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md5:64256dc0651d7f2e09b5cd0137520b20
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7.8 kB | Preview Download |
Additional details
Software
- Programming language
- Python