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End of preview. Expand in Data Studio

NE Plant Classes

Plant photographs from the iNaturalist open data archive, filtered to a New England bounding box (latitude 41 to 48, longitude -74 to -67) and each labelled by a vision language model with the kind of subject it depicts.

Labels come from Qwen/Qwen3.5-9B; they are model output, not human annotation, and have not been checked against a hand-labelled sample.

151,778 images in a single train split.

Columns

  • image - the photograph, embedded in the dataset
  • output - the model's one-word classification
  • file_name - the original image filename, named after the iNaturalist photo id

Labels

The prompt sorts each photo into one of five classes, falling back to other when none of the first four fit.

label count share
nature 114,054 75.1%
human 33,675 22.2%
manmade 2,308 1.5%
magnified 1,715 1.1%
other 26 <0.1%

Licensing

The photographs keep whichever license each iNaturalist observer chose, so the collection is not under a single license and most of it is non-commercial.

license count share
CC-BY-NC 114,506 75.4%
CC-BY 22,860 15.1%
CC0 10,073 6.6%
CC-BY-NC-SA 3,288 2.2%
CC-BY-SA 1,051 0.7%

Everything but the CC0 portion requires attribution. Observer and photo metadata live in the iNaturalist open data archive, joinable on the photo id in file_name.

Provenance

Labelled by running vlm process with prompts/inat_classify.txt over the downloaded images, then uploaded with vlm upload-dataset. Both commands come from the vlm-toolkit repo; the filtering and download steps are in plant-pics.

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