Dontopedia

Image

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-15.)

Image has 63 facts recorded in Dontopedia across 31 references, with 7 live disagreements.

63 facts·31 predicates·31 sources·7 in dispute

Mostly:rdf:type(14), depicts(7), aggregates all(5)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Inbound mentions (63)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

sharedShared(3)

extractedFromExtracted From(2)

hasParameterHas Parameter(2)

indicatesTypeIndicates Type(2)

requestedRequested(2)

returnsReturns(2)

acknowledgesSeeingAcknowledges Seeing(1)

asksToDescribeAsks to Describe(1)

canDescribeOrAnalyzeCan Describe or Analyze(1)

canUploadCan Upload(1)

confirmedHasExifDataConfirmed Has Exif Data(1)

derivedFromDerived From(1)

describesDescribes(1)

doesNotRequireDoes Not Require(1)

evidenceFormatEvidence Format(1)

excludesModalityExcludes Modality(1)

feedsFeeds(1)

fileTypeFile Type(1)

framesAsProcessorFrames As Processor(1)

generatedGenerated(1)

handlesHandles(1)

handlesDataTypeHandles Data Type(1)

handlesMediaTypeHandles Media Type(1)

hasFileTypeHas File Type(1)

hasHighFidelityToOutputHas High Fidelity to Output(1)

hasPropertyHas Property(1)

indicatesIndicates(1)

instructsToAttachInstructs to Attach(1)

involvesImageModalityInvolves Image Modality(1)

involvesModalitiesInvolves Modalities(1)

isInstanceOfIs Instance of(1)

isProcessingIs Processing(1)

madeImageWithoutContextMade Image Without Context(1)

mediaTypeMedia Type(1)

modalityTypeModality Type(1)

performsCaptioningPerforms Captioning(1)

positionedCentrallyPositioned Centrally(1)

prefersLessCubistStylePrefers Less Cubist Style(1)

producesProduces(1)

providedProvided(1)

reactsToReacts to(1)

readsReads(1)

recommendsProvideValidImageUrlRecommends Provide Valid Image Url(1)

reliesOnUserDescriptionRelies on User Description(1)

reportsAttachmentDownloadFailedReports Attachment Download Failed(1)

requestsImageRequests Image(1)

requiresImageUrlRequires Image Url(1)

returnsValueReturns Value(1)

sharedMemeOrImageShared Meme or Image(1)

sharesMediaShares Media(1)

specifiedSearchTargetSpecified Search Target(1)

statesImageCreationStates Image Creation(1)

supportsOptionalSupports Optional(1)

supportsReconstructionSupports Reconstruction(1)

thoughtItCouldNotGenerateImageThought It Could Not Generate Image(1)

transfersTransfers(1)

Other facts (44)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

44 facts
PredicateValueRef
Depictsturtle[22]
Depictsstrawberry[22]
DepictsPerson Holding Bookmark[24]
DepictsBakery Display[25]
DepictsPerson[26]
DepictsBook[26]
DepictsLake[26]
Aggregates Allimage — depicts: person, book, lake[27]
Aggregates Allimage — depicts: turtle, strawberry[28]
Aggregates Allimage — shows: book with bookmark signature, person holding bookmark[29]
Aggregates Allimage — depicts: turtle, strawberry[30]
Aggregates Allimage — shows: book with bookmark signature, person holding bookmark[31]
ShowsCheckers Board[4]
ShowsBook With Bookmark Signature[24]
ShowsPerson Holding Bookmark[24]
CapturesLove for Libraries[3]
CapturesThoughtful Dialogue[3]
Has Dimensionheight[12]
Has Dimensionwidth[12]
NamedScreenshot_2025-08-09_at_2.39.44_AM.png[1]
Is Recent FromAjax[1]
Generated From Pixel Values Reshapenull[2]
Is Knowledge Filledtrue[3]
Is Eleganttrue[3]
Formatimage/png[3]
Presupposes Exists GameBoard Game[4]
Uses Pieceswhite and black[4]
Arranges Pieces to Formmessage[4]
Is Close UpCheckers Board[4]
Is Close Up Naturetrue[4]
Has Occurrences8[5]
MatchesPrompt[6]
Has ModificationsModifications[6]
Accompanies ResponseResponse[7]
Derived FromPage[9]
Has Attributeshape[12]
Is Result ofCv2.imdecode[13]
Is Output ofCv2.imdecode[13]
Is Processed ImageOpen Cv Object[13]
Associated WithAjax[17]
Occurrence Count8[18]
Used forMultimodal AI Interaction[19]
Shared byJohn[24]
Shared WithTim[24]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

namedblah/computer-vision/part-2
Screenshot_2025-08-09_at_2.39.44_AM.png
isRecentFromblah/computer-vision/part-2
ex:ajax
generatedFromPixelValuesReshapeblah/computer-vision/part-1
null
isKnowledgeFilledblah/omega/part-401
true
capturesblah/omega/part-401
ex:love-for-libraries
isElegantblah/omega/part-401
true
capturesblah/omega/part-401
ex:thoughtful-dialogue
formatblah/omega/part-401
image/png
presupposesExistsGameblah/omega/part-680
ex:board-game
usesPiecesblah/omega/part-680
white and black
showsblah/omega/part-680
ex:checkers-board
arrangesPiecesToFormblah/omega/part-680
message
isCloseUpblah/omega/part-680
ex:checkers-board
isCloseUpNatureblah/omega/part-680
true
hasOccurrencesblah/omega/part-688
8
matchesblah/prompts/part-2
ex:prompt
hasModificationsblah/prompts/part-2
ex:modifications
accompaniesResponseblah/safiersemantics/part-29
ex:response
typebeam/66507add-1550-4ddd-b027-6057c36684d7
ex:DocumentType
labelbeam/66507add-1550-4ddd-b027-6057c36684d7
Image
derivedFrombeam/7113a8d8-a1ad-4113-be50-9ad72a73c618
ex:page
typebeam/a63af613-fc59-4e73-9b70-b165ecbf1dbc
ex:Variable
typebeam/6bfba55e-cd71-49d1-b357-965037533de2
ex:Category
labelbeam/6bfba55e-cd71-49d1-b357-965037533de2
image
hasAttributebeam/8d71f190-64f4-4bef-8354-27133ff0c62b
shape
hasDimensionbeam/8d71f190-64f4-4bef-8354-27133ff0c62b
height
hasDimensionbeam/8d71f190-64f4-4bef-8354-27133ff0c62b
width
typebeam/8d71f190-64f4-4bef-8354-27133ff0c62b
ex:DigitalImage
isResultOfbeam/8263f730-39a1-48dd-88fb-805f88e6a2a1
ex:cv2.imdecode
isOutputOfbeam/8263f730-39a1-48dd-88fb-805f88e6a2a1
ex:cv2.imdecode
isProcessedImagebeam/8263f730-39a1-48dd-88fb-805f88e6a2a1
ex:OpenCV-object
typeblah/agents/1
ex:MediaType
typeblah/agents/2
ex:Noun
labelblah/agents/2
image
labelblah/agentsofempire/1
image
typeblah/agentsofempire/1
ex:FileType
typeblah/omega/358
ex:Image
associatedWithblah/omega/358
ex:ajax
occurrenceCountblah/omega/683
8
usedForblah/tpmjs/30
ex:multimodal-ai-interaction
typebeam/52ab0250-e097-4c8b-8f05-c020ce95c214
ex:docker-image-configuration
typeclaims/session/discord:1349727923434815519:1462240469864943626
ex:Noun
typelocomo/cafdcf76-7613-4672-979d-90c1ed05018d
ex:VisualContent
depictslocomo/cafdcf76-7613-4672-979d-90c1ed05018d
turtle
depictslocomo/cafdcf76-7613-4672-979d-90c1ed05018d
strawberry
typelocomo/05038449-3d32-4484-a05e-0889206b9c77
ex:Media
labellocomo/05038449-3d32-4484-a05e-0889206b9c77
photo of a graduation cap on a book with a rope
showslocomo/e272e64e-717d-44a1-a8fc-0aa0dbed7082
ex:BookWithBookmarkSignature
sharedBylocomo/e272e64e-717d-44a1-a8fc-0aa0dbed7082
ex:John
sharedWithlocomo/e272e64e-717d-44a1-a8fc-0aa0dbed7082
ex:Tim
depictslocomo/e272e64e-717d-44a1-a8fc-0aa0dbed7082
ex:PersonHoldingBookmark
showslocomo/e272e64e-717d-44a1-a8fc-0aa0dbed7082
ex:PersonHoldingBookmark
typelocomo/44319492-1e55-4e01-96b5-b9d69b8fa3d3
ex:Photograph
depictslocomo/44319492-1e55-4e01-96b5-b9d69b8fa3d3
ex:bakery-display
typelocomo/6122d91c-4c79-4f1b-b8bc-5915641a0396
ex:Photograph
depictslocomo/6122d91c-4c79-4f1b-b8bc-5915641a0396
ex:person
depictslocomo/6122d91c-4c79-4f1b-b8bc-5915641a0396
ex:book
depictslocomo/6122d91c-4c79-4f1b-b8bc-5915641a0396
ex:lake
aggregatesAlllocomo/conv-49/aggrel
image — depicts: person, book, lake
aggregatesAlllocomo/conv-42/aggregate_rel
image — depicts: turtle, strawberry
aggregatesAlllocomo/conv-43/aggregate_rel
image — shows: book with bookmark signature, person holding bookmark
aggregatesAlllocomo/conv-42/aggrel
image — depicts: turtle, strawberry
aggregatesAlllocomo/conv-43/aggrel
image — shows: book with bookmark signature, person holding bookmark

References (31)

31 references
  1. [1]Part 22 facts
    ctx:discord/blah/computer-vision/part-2
  2. [2]Part 11 fact
    ctx:discord/blah/computer-vision/part-1
  3. [3]Part 4015 facts
    ctx:discord/blah/omega/part-401
  4. [4]Part 6806 facts
    ctx:discord/blah/omega/part-680
  5. [5]Part 6881 fact
    ctx:discord/blah/omega/part-688
  6. [6]Part 22 facts
    ctx:discord/blah/prompts/part-2
  7. [7]Part 291 fact
    ctx:discord/blah/safiersemantics/part-29
  8. ctx:claims/beam/66507add-1550-4ddd-b027-6057c36684d7
    • full textbeam-chunk
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      ### 1. File Extension File extensions can provide strong clues about the type of document. For example, `.txt` files are likely to be text documents, while `.jpg` files are images. ### 2. Metadata Metadata associated with the documents can
  9. ctx:claims/beam/7113a8d8-a1ad-4113-be50-9ad72a73c618
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7113a8d8-a1ad-4113-be50-9ad72a73c618
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      Choose an efficient storage solution that can handle high write throughput. Consider using distributed file systems or NoSQL databases. ### Example Implementation Here's an enhanced version of your design incorporating these principles:
  10. ctx:claims/beam/a63af613-fc59-4e73-9b70-b165ecbf1dbc
    • full textbeam-chunk
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      ### Enhanced Script with Specific Error Handling ```python import pytesseract from PIL import Image import os def ocr_image(image_path): try: # Open the image using PIL image = Image.open(image_path) #
  11. ctx:claims/beam/6bfba55e-cd71-49d1-b357-965037533de2
  12. ctx:claims/beam/8d71f190-64f4-4bef-8354-27133ff0c62b
    • full textbeam-chunk
      text/plain1 KBdoc:beam/8d71f190-64f4-4bef-8354-27133ff0c62b
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      # Define the size of each chunk chunk_size = 1024 # Adjust as needed # Segment the image height, width, _ = image.shape for i in range(0, height, chunk_size): for j in range(0, width, chunk_size):
  13. ctx:claims/beam/8263f730-39a1-48dd-88fb-805f88e6a2a1
    • full textbeam-chunk
      text/plain1 KBdoc:beam/8263f730-39a1-48dd-88fb-805f88e6a2a1
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      Large images can be broken down into smaller chunks that fit within the size limits of Rekognition. You can use AWS Lambda and AWS Step Functions to orchestrate this process. ### Step 2: Use AWS Lambda for Image Segmentation AWS Lambda ca
  14. [14]11 fact
    ctx:discord/blah/agents/1
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      [2026-02-07 04:19] traves_theberge: https://x.com/tomcrawshaw01/status/2019778646043758957?s=46 [2026-02-07 04:22] traves_theberge: https://github.com/VoltAgent/awesome-claude-code-subagents [2026-02-07 05:54] lisamegawatts: subagents are n
  15. [15]22 facts
    ctx:discord/blah/agents/2
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      [2026-02-09 06:55] traves_theberge: - Warcraft Peon: wowhead.com/sounds/name:pe… - Warcraft Peasant: wowhead.com/sounds/name:pe… - Mario: myinstants.com/en/search/?nam… - Spongebob: myinstants.com/en/search/?nam… - - E.g: //.claude/settin
  16. [16]12 facts
    ctx:discord/blah/agentsofempire/1
    • full textctx:discord/blah/agentsofempire/1
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      [2026-01-30 10:29] ajaxdavis: <@1211062099137265723> [2026-01-30 10:29] lisamegawatts: https://github.com/DavinciDreams/deepagentsjs [2026-01-30 10:38] ajaxdavis: https://x.com/rivet_dev/status/2016548084696727842 [2026-01-30 10:43] lisameg
  17. [17]3582 facts
    ctx:discord/blah/omega/358
    • full textomega-358
      text/plain2 KBdoc:agent/omega-358/a9235e19-3bd1-4e57-9e32-7c696911ec31
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      [2025-11-23 10:46] omega [bot]: ✅ Responding (98% confidence) ||📋 Reason: AI: Level 1: No rejection signals present. Level 2: Message contains direct mention of Omega by name, indicating it is addressed to Omega. Level 3: The intent is a fe
  18. [18]6831 fact
    ctx:discord/blah/omega/683
    • full textomega-683
      text/plain2 KBdoc:agent/omega-683/0aad1e0a-bfc4-4944-89a4-25a27fdf325b
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      [2025-12-11 05:59] omega [bot]: The present perfect ("I've created") is predominant in reporting completed actions relevant to ongoing discourse and project status. Example: "I've created issue #828 to check for an image storage table..."
  19. [19]301 fact
    ctx:discord/blah/tpmjs/30
    • full texttpmjs-30
      text/plain2 KBdoc:agent/tpmjs-30/7f32b63f-5d02-4a28-a38f-3816d54053ba
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      [2026-01-17 02:02] ajaxdavis: You are an AI assistant with access to HLLM (Heterogeneous Language Learning Model) - a multi-agent orchestration platform. You can execute complex AI workflows, manage chat sessions, and interact with various
  20. ctx:claims/beam/52ab0250-e097-4c8b-8f05-c020ce95c214
    • full textbeam-chunk
      text/plain1 KBdoc:beam/52ab0250-e097-4c8b-8f05-c020ce95c214
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      [Turn 2887] Assistant: Certainly! To track the progress of your pipeline design using GitLab CI/CD 15.11.0, you can define multiple stages in your `.gitlab-ci.yml` file. Each stage represents a phase in your workflow, such as build, test, a
  21. ctx:memory/claims/session/discord:1349727923434815519:1462240469864943626
    • full textctx:memory/claims/session/discord:1349727923434815519:1462240469864943626
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      xenonfun in #safiersemantics: images page starting.
    • full textctx:memory/claims/session/discord:1349727923434815519:1462240469864943626
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      xenonfun in #safiersemantics: (no text — image attachment only)
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      xenonfun in #safiersemantics: well perhaps this is messy for sure. wish I just had bigger disk. stupid acer was $200 more with 4tb recently...
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      xenonfun in #safiersemantics: well that was kinda impressive, NFS wedged (Again). found root source, NFS server was set to auto idle (WTF?) at least the NIC wasn't core issue, so that is good. restarted NFS and claude came back to life.
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      xenonfun in #safiersemantics: failing faster now.
    • full textctx:memory/claims/session/discord:1349727923434815519:1462240469864943626
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      xenonfun in #safiersemantics: (no text — image attachment only)
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      xenonfun in #safiersemantics: ✶ Propagating… (8m 35s · ↓ 28.4k tokens) ⎿  ◻ Manual-invoke image builds as CI jobs + UI single-job trigger ◻ [LARGER] Publish named images to uranus OCI feed + k3s pulls from there (retire --local)
    • full textctx:memory/claims/session/discord:1349727923434815519:1462240469864943626
      text/plain142 Bdoc:memory/claims/session/discord:1349727923434815519:1462240469864943626/0de5e096-8078-43b8-a191-4807fedd4e6d
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      xenonfun in #safiersemantics: will get docker images as well some UI exposure. as it is also hosting its own images, or will be again shortly.
    • full textctx:memory/claims/session/discord:1349727923434815519:1462240469864943626
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      xenonfun in #safiersemantics: looks like shit but guess it counts, don't think I ever actually published package and viewed.
    • full textctx:memory/claims/session/discord:1349727923434815519:1462240469864943626
      text/plain349 Bdoc:memory/claims/session/discord:1349727923434815519:1462240469864943626/cb2c8f8f-b720-41b3-86f6-45f83fed3537
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      xenonfun in #safiersemantics: I really need to split build up for bigger projects: perhaps publish and pull the crates (which then are all sccached), would probably improve build cycle times as a lot of them don't get touched in a feature u
    • full textctx:memory/claims/session/discord:1349727923434815519:1462240469864943626
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      xenonfun in #safiersemantics: tags now too
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      xenonfun in #safiersemantics: better luck next-time
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      xenonfun in #safiersemantics: self release time, again.
    • full textctx:memory/claims/session/discord:1349727923434815519:1462240469864943626
      text/plain117 Bdoc:memory/claims/session/discord:1349727923434815519:1462240469864943626/bde92f9b-4fd0-4c64-a100-e758040bb0c2
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      xenonfun in #safiersemantics: crates are coming back. getting orleans-rust-client fixed up so will do whole publish .
    • full textctx:memory/claims/session/discord:1349727923434815519:1462240469864943626
      text/plain354 Bdoc:memory/claims/session/discord:1349727923434815519:1462240469864943626/f98a1ffe-c580-4c82-a7d5-bb384ba3345b
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      xenonfun in #safiersemantics: ● The OCI restoration Understand workflow (wmb8i3k3n) is running — read-only mapping of the registry impl, the prior working publish flow (from git history), the DGX-era change, and exposure, then a restorati
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      text/plain129 Bdoc:memory/claims/session/discord:1349727923434815519:1462240469864943626/49018b70-24e7-4958-8323-774ef3894f18
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      xenonfun in #safiersemantics: okay now its gotta rediscover we already build a whole OCI endpoint its gotta start using it again.
  22. ctx:claims/locomo/cafdcf76-7613-4672-979d-90c1ed05018d
    • full textbeam-chunk
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      [Session date: 6:44 pm on 17 April, 2022] Nate: Hey Joanna! Haven't talked with you in a while - how's it going? Joanna: Hey Nate! Great to hear from you. I've been reading a lot in the past week! There's a lot of good books I forgot I owne
  23. ctx:claims/locomo/05038449-3d32-4484-a05e-0889206b9c77
  24. ctx:claims/locomo/e272e64e-717d-44a1-a8fc-0aa0dbed7082
    • full textbeam-chunk
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      [Session date: 4:17 pm on 2 August, 2023] Tim: Hey John! How've you been? Something awesome happened - I'm writing articles about fantasy novels for an online mag. It's so rewarding! John: Hey Tim! Congrats on the opportunity to write about
  25. ctx:claims/locomo/44319492-1e55-4e01-96b5-b9d69b8fa3d3
    • full textbeam-chunk
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      [Session date: 4:19 pm on 16 April, 2023] Andrew: Hey Audrey! What's up? Missed chatting with ya! Check it out, my girl & I tried out that new cafe scene in the city last weekend! Super fun but kinda sad not being out in nature - that's whe
  26. ctx:claims/locomo/6122d91c-4c79-4f1b-b8bc-5915641a0396
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      text/plain3 KBdoc:beam/6122d91c-4c79-4f1b-b8bc-5915641a0396
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      [Session date: 7:11 pm on 24 May, 2023] Evan: Hey Sam, good to hear from you! Since we last talked, lots has been happening! Last weekend, I took my family on a road trip to Jasper. It was amazing! We drove through the Icefields Parkway and
  27. [27]Aggrel1 fact
    ctx:claims/locomo/conv-49/aggrel
  28. [28]Aggregate Rel1 fact
    ctx:claims/locomo/conv-42/aggregate_rel
  29. [29]Aggregate Rel1 fact
    ctx:claims/locomo/conv-43/aggregate_rel
  30. [30]Aggrel1 fact
    ctx:claims/locomo/conv-42/aggrel
  31. [31]Aggrel1 fact
    ctx:claims/locomo/conv-43/aggrel

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