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Datasets:
SEA-AI
/
seashapes

Modalities:
3D
Image
Text
Formats:
imagefolder
Size:
< 1K
Tags:
3d
glb
maritime
ships
synthetic-data
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
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seashapes / README.md
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kevinconka
Add tools/validate.py; adding an asset without a clone
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metadata 
pretty_name: SeaShapes
license:
  - cc-by-4.0
  - apache-2.0
tags:
  - 3d
  - glb
  - maritime
  - ships
  - synthetic-data
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - '*/preview.png'
      - metadata.jsonl

SeaShapes

3D models of maritime objects, each with its real-world size and its source. One folder per asset, holding the model and a preview. metadata.jsonl describes every asset, one row each, and schema.json defines the fields.

Query

In the Data Studio SQL console, or anywhere DuckDB runs:

SELECT id, category, length_m, width_m, licence
FROM 'hf://datasets/SEA-AI/seashapes/metadata.jsonl'
WHERE list_contains(tags, 'containers') AND length_m BETWEEN 80 AND 100;

Pin a file by commit, never by branch:

https://huggingface.co/datasets/SEA-AI/seashapes/resolve/<commit>/<id>/<id>.glb

Fields

Field Meaning
id Folder name
file_name Preview image, <id>/preview.png
title, author, source_url, licence Attribution; licence is an SPDX identifier
category, tags, description What the object is; tags are free filters
length_m, width_m, height_m Real overall size, keel to top for a vessel
size_source How the real size is known; model units are arbitrary
file, format, size_bytes, sha256 The file
front_axis Where the front points in the file; omitted when it is glTF's +z
triangles, textures, texture_max_px Mesh detail
modified Whether the file differs from what the source offers
added Date added

schema.json is the authority; a row that fails it is not added.

Adding an asset

No clone needed: fetch the small files, add the asset, upload only what changed.

hf download SEA-AI/seashapes --repo-type dataset --local-dir seashapes --exclude "*.glb" --exclude "*.png"
cd seashapes
  1. Put the model at <id>/<id>.glb and append its row to metadata.jsonl. Leave sha256 and size_bytes out; the check fills them in.
  2. Render its preview: uv run tools/preview.py <id>.
  3. Check every row: uv run tools/validate.py. Rows whose folder is here are checked against their files, the rest against schema.json.
  4. Upload in one commit:
hf upload SEA-AI/seashapes . . --repo-type dataset --include "<id>/*" --include metadata.jsonl --commit-message "Add <id>"

Pin the new commit, never main, wherever the asset is used.

Licences

Files Licence
<id>/<id>.glb The author's, given per row in metadata.jsonl
<id>/preview.png The model's licence and attribution; each is a render of the model, modified: rendered by SEA.AI
metadata.jsonl, schema.json, README.md CC BY 4.0, SEA.AI
tools/ Apache-2.0, SEA.AI

Credit the author and link the source when you share a model or work made from it. Every row of metadata.jsonl carries its title, author, source_url and licence, and models from Sketchfab embed the same in their glTF asset.extras:

SELECT title, author, source_url, licence
FROM 'hf://datasets/SEA-AI/seashapes/metadata.jsonl';

Models from Sketchfab are the GLBs it offers for download, unmodified. Their authors do not endorse SEA.AI or this dataset.

All files are provided as is, without warranties of any kind, to the extent the law allows; see each licence.

Licensing reviewed 2026-10-10.