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Blue Life CommonsOcean Intelligence
Media intelligence

The approved visual layer for ocean life

Blue Life Commons is not trying to be another image search engine. It turns partner media, biodiversity networks, and public-domain sources into species visuals that are rights-checked, credited, welfare-aware, and ready for public pages.

Current production coverage

100%approved image coverage

31 of 31 current species pages render approved primary images with source, creator, license, alt text, and public-use review gates.

Tracked animals

31

Current species-page corpus in the public commons.

Approved images

31

Primary visuals allowed on public species surfaces.

Source domains

1

Distinct domains behind approved primary image source pages.

Review leakage

0

Candidate and reviewer-only media stay out of public rendering.

Coverage map

Every current animal is live; the next job is scale

The first production pass solved coverage for the current corpus. The platform pass makes the route for more animals explicit: normalize the taxon, collect candidates, approve one primary visual, then publish with provenance.

Approved media by guild

Sharks & Rays7
Cetaceans6
Reefs & Habitat6
Sea Turtles6
Pinnipeds5
Sirenians1

Rights profile

public domain

15

approved primary images

cc by

7

approved primary images

cc0

6

approved primary images

cc by sa

3

approved primary images

Visual audit board

Every approved animal image, mapped to its page

This is the public ledger layer: each rendered visual is attached to one animal, one source path, one rights status, and one approved public surface. Candidate media stays out of this grid until review promotes it.

Great white shark at Isla Guadalupe, Mexico, August 2006. Shot with Nikon D70s in Ikelite housing, in natural light. Animal estimated at 11-12 feet (3.3 to 3.6 m) in length, age unknown.
Approvedcc by

Great White Shark

Sharks & Rays

Asset
great-white-shark-wikimedia-white-shark
License
CC BY 2.5
Source
commons.wikimedia.org

Image: Pterantula (Terry Goss) at en.wikipedia / CC BY 2.5

Harbor Seal, Phoca vitulina.
Approvedcc by

Harbor Seal (Phoca vitulina)

Pinnipeds

Asset
species-harbor-seal-wikimedia-harbor-seal-phoca-vitulina-flickr-gregthebusker
License
CC BY 2.0
Source
commons.wikimedia.org

Image: Greg Schechter from San Francisco, USA / CC BY 2.0

Reef Manta Ray (Mobula alfredi) in an approved source image used for species identification.
Approvedcc by

Reef Manta Ray (Mobula alfredi)

Sharks & Rays

Asset
reef-manta-ray-wikimedia-manta-alfredi-cruising-journal-pone-0046170-g002
License
CC BY 2.5
Source
commons.wikimedia.org

Image: Jaine FRA, Couturier LIE, Weeks SJ, Townsend KA, Bennett MB, et al. (2012) / CC BY 2.5

Tiger Shark (Galeocerdo cuvier) in an approved source image used for species identification.
Approvedcc by

Tiger Shark (Galeocerdo cuvier)

Sharks & Rays

Asset
tiger-shark-wikimedia-requin-tigre-galeocerdo-cuvier-ifremer-00756-867
License
CC BY 4.0
Source
commons.wikimedia.org

Image: Fanchon Varenne (IFREMER, Délégation océan Indien (DOI), Département Ressources Biologiques et Environnement (RBE), F-97420 Le Port, France) / CC BY 4.0

A large Pacific Walrus bull watches the camera. The adult bulls can weigh up to 3,700 pounds.
Approvedpublic domain

Walrus (Odobenus rosmarus)

Pinnipeds

Asset
species-walrus-wikimedia-pacific-walrus-bull-8247646168
License
Public domain
Source
commons.wikimedia.org

Image: Joel Garlich-Miller, U.S. Fish and Wildlife Service / Public domain

Scale storage

Git stores truth; object storage stores pixels

The first production storage layer keeps this repo as the rights and review ledger while approved image files are mirrored into Vercel Blob. R2 stays available later if traffic economics demand a dedicated media domain.

Blob-hosted

31

Approved species images now mirrored into the connected Vercel Blob store.

Planned variants

155

5 derivative slots per approved image for the next optimization pass.

Storage plan

186

Original plus public derivative object paths tracked by the storage manifest.

Git originals

0

Bulk source pixels stay out of the repository.

Truth and review trail

GitHub

Code, source metadata, licenses, object keys, public-safe manifests, and evidence.

Why

Git should stay small, reviewable, and transparent; it should not become the image warehouse.

First owned pixel store

Vercel Blob

The first 31 approved species images, public Blob URLs, and the upload manifest used by production routes.

Why

Vercel-native storage gets the encyclopedia fully owned and hosted without adding a second infrastructure provider at launch.

Operational registry

Postgres

Asset rows, variant rows, grants, reviews, checksums, stale-source state, and audit events.

Why

A database is the right layer for search, workflow state, permission expiry, and contributor operations at scale.

Application and publishing layer

Vercel

Next.js routes, reviewer UI, environment variables, Blob store connection, and production deployments.

Why

The app and first media store now live together; R2 remains the later option if high image traffic makes egress economics more important.

Media domain

https://7xuojupgkl56rqhi.public.blob.vercel-storage.com

Public routes now prefer uploaded Vercel Blob originals when the approved asset appears in the Blob manifest. `card`, `hero`, and `og` derivatives remain a planned optimization step.

Competitive read

Build on the ecosystem instead of duplicating it

The best platform position is not another undifferentiated animal-photo search. It is the public trust layer that joins image rights, taxonomy, source context, welfare review, and action.

Community observation and image recognition

iNaturalist and Seek

iNaturalist API and Seek pages
What they do
iNaturalist exposes supported APIs for observations and Seek uses image recognition built from iNaturalist observations and community identifications.
Blue Life move
Use as a discovery and observation-signal lane, then re-check image rights, species match, welfare context, and exact location sensitivity before public use.

Occurrence media infrastructure

GBIF

GBIF occurrence image API
What they do
GBIF indexes occurrence-linked media, supports image cache URLs, and warns that occurrence images can carry more restrictive licenses than the occurrence records.
Blue Life move
Use GBIF for broad media discovery and occurrence context, but store image-level creator, license, publisher, and confirmation state in our own approval record.

Species knowledge graph

Encyclopedia of Life

Smithsonian EOL overview
What they do
EOL provides free multilingual biodiversity information and curated structured trait data across a very large species corpus.
Blue Life move
Use EOL as a species-page and trait-source partner, while Blue Life adds public media approval, welfare framing, and action-oriented ocean context.

Marine occurrence intelligence

OBIS

OBIS data access
What they do
OBIS harvests marine occurrence records from thousands of datasets and publishes access routes for visual exploration, APIs, and large-scale analysis.
Blue Life move
Use OBIS for marine distribution, occurrence, and signal context so image pages can connect a species visual to real ocean data without exposing sensitive live locations.

Marine taxonomy backbone

WoRMS

WoRMS REST service
What they do
WoRMS provides marine species name and AphiaID services through its REST interface.
Blue Life move
Use WoRMS identifiers as the stable marine taxon key before importing or approving images at scale.

Individual animal photo-identification

Wild Me / Wildbook

Wild Me what-we-do
What they do
Wild Me provides Wildbook platforms for computational photo-identification and collaboration from imagery collected by researchers, tourists, operators, and the public.
Blue Life move
Partner or interoperate where individual identification matters, while Blue Life stays focused on public species pages, rights-safe visuals, and field action context.

Camera-trap workflow

Wildlife Insights

Wildlife Insights home
What they do
Wildlife Insights lets teams upload camera-trap photos, apply machine learning identification, analyze data, and explore projects.
Blue Life move
Borrow the workflow lesson: bulk image intake needs upload, machine assist, human verification, analysis, and public-safe publishing as separate stages.

Fish species facts and media

FishBase and SeaLifeBase

FishBase hints
What they do
FishBase exposes fish species data and picture access routes, with image reuse governed by the linked image and citation rules.
Blue Life move
Treat FishBase as a fish-specific candidate and citation lane, not an automatic public-image license.
Source lanes

How more animals and images come online

Each lane has a role and a gate. This is how we get faster without weakening image rights, source quality, or animal-welfare context.

First-choice primary media

Official and public-domain institutions

NOAA, USFWS, museums, government programs, sanctuaries

Gate

Confirm image-level credit, public-domain or license status, and whether non-agency credits require extra permission.

Fast scalable coverage

Commons and open-license media

Wikimedia Commons, iNaturalist open photos, GBIF multimedia records

Gate

Require creator, license URL, source page, species-match basis, crop approval, and blocked-surface notes.

Taxon and trait enrichment

Biodiversity knowledge networks

EOL, WoRMS, OBIS, IUCN, FishBase, SeaLifeBase

Gate

Use as source context or identifiers; do not infer image rights from data availability.

High-trust replacement images

Partner and NGO grants

Conservation NGOs, researchers, sanctuaries, photographers, field programs

Gate

Written permission must name surfaces, credit line, expiry, embargoes, and sensitive-location constraints.

Scale review without publishing mistakes

Machine-assisted intake

Candidate clustering, duplicate checks, taxonomy hints, quality triage

Gate

AI suggestions never publish directly; every public visual needs human approval and provenance.

Expansion loop

The repeatable path from animal to live image

  1. 1. Normalize the taxon key

    One stable animal record

    Join common name, scientific name, WoRMS or other taxon identifier, artifact id, and page path before collecting images.

  2. 2. Collect candidates, not assets

    Review-only media queue

    Pull source pages, thumbnails, file pages, and metadata into reviewer-only records. Do not make candidate image URLs public.

  3. 3. Score rights and fit

    Prioritized curator lane

    Rank official/public-domain, open-license, partner-grant, and blocked/needs-permission records by source confidence, license clarity, species match, and welfare risk.

  4. 4. Approve one primary visual

    Public species media

    Promote only after image-level rights, credit, alt text, crop, sensitive-location review, and species-match evidence are complete.

  5. 5. Publish with provenance

    Useful public page

    Render the image with source, creator, license, approved surfaces, blocked surfaces, and links back to original evidence.

  6. 6. Keep refreshing

    Living visual commons

    Track stale images, better partner replacements, new source records, missing taxa, and review gaps as a repeatable operating queue.

Platform answer

Blue Life wins by being the rights-safe, source-backed, welfare-aware publishing layer for animal visuals. It should ingest from the best biodiversity platforms, partner with the teams that already own strong field media, and publish only what survives the approval contract.