{ "schema": "mushroom-vision.public-pixels.v1", "completedAt": "2026-11-01T03:57:04.481043+00:00", "status": "completed", "frames": [ { "frameId": "inat-photo-657199339", "cohort": "ai-photo", "referenceAuthority": "ai", "isNegativeControl": false, "imageSha256": "fd70db4a0da3c7948bf466fb05d0a237afc0523875dffa4a3e35d016e1f37ae7", "width": 1524, "height": 2048, "referenceComplete": false, "notes": "Three pitted pale caps rise through grass and pine needles; reference is the foreground left cap and visible base. Stems are partly hidden. Other two caps are not exhaustively boxed.", "targetUnit": "selected AI region; can be a body or cluster", "source": { "title": "Licensed research photo", "attribution": "(c) Nancy Overholtz, some rights reserved (CC BY-SA)", "license": "CC-BY-SA", "sourceUrl": "https://www.inaturalist.org/observations/360169655", "licenseUrl": "https://creativecommons.org/licenses/by-sa/4.0/" } }, { "frameId": "inat-photo-650499352", "cohort": "ai-photo", "referenceAuthority": "ai", "isNegativeControl": false, "imageSha256": "d7a7a5bf395e5b61b510a9a89ab1564727f4071167cac56c0c772c5f0e5f0f58", "width": 1536, "height": 2048, "referenceComplete": false, "notes": "One strongly pitted cap with pale stem stands beside a hand. Reference encloses the mushroom; the hand, ring, bricks and green leaves are not fungi.", "targetUnit": "selected AI region; can be a body or cluster", "source": { "title": "Licensed research photo", "attribution": "(c) LKJ, some rights reserved (CC BY)", "license": "CC-BY", "sourceUrl": "https://www.inaturalist.org/observations/356696153", "licenseUrl": "https://creativecommons.org/licenses/by/4.0/" } }, { "frameId": "inat-photo-757471312", "cohort": "ai-photo", "referenceAuthority": "ai", "isNegativeControl": false, "imageSha256": "e5d59f2fdb340c6dd839d5ec5b7f3c98c2b29e2d18547d9a9818e937f1175eb3", "width": 1600, "height": 1200, "referenceComplete": false, "notes": "Pale caps with visible gill-like undersides emerge from dark fissured bark. Reference is the large central mushroom; smaller left-edge and right mushrooms remain unboxed.", "targetUnit": "selected AI region; can be a body or cluster", "source": { "title": "Licensed research photo", "attribution": "(c) Matthew Rose, some rights reserved (CC BY)", "license": "CC-BY", "sourceUrl": "https://www.inaturalist.org/observations/411724844", "licenseUrl": "https://creativecommons.org/licenses/by/4.0/" } }, { "frameId": "inat-photo-756371216", "cohort": "ai-photo", "referenceAuthority": "ai", "isNegativeControl": false, "imageSha256": "244d92954b8b6cf4bbbe2b653653b2f1d3efc9f994384e1e0a10ccbbad29f3f3", "width": 2048, "height": 1536, "referenceComplete": false, "notes": "Pale overlapping fan-shaped fruiting bodies stand out on a fallen log among brown leaves. Reference is the near central cluster; upper-right and lower mushrooms remain unboxed.", "targetUnit": "selected AI region; can be a body or cluster", "source": { "title": "Licensed research photo", "attribution": "(c) Giovanny Vargas, some rights reserved (CC BY)", "license": "CC-BY", "sourceUrl": "https://www.inaturalist.org/observations/411179701", "licenseUrl": "https://creativecommons.org/licenses/by/4.0/" } }, { "frameId": "inat-photo-508962095", "cohort": "ai-photo", "referenceAuthority": "ai", "isNegativeControl": false, "imageSha256": "fdc6d7858bdb079a9c05f3968d67e3e954107a2bc2803a39cc660e9531595ba3", "width": 1536, "height": 2048, "referenceComplete": false, "notes": "Dark grey-brown hollow funnels closely match the surrounding dead leaves. Reference encloses the upper central funnel; lower and edge funnels remain unboxed. Brown leaf veins and twigs are confounders.", "targetUnit": "selected AI region; can be a body or cluster", "source": { "title": "Licensed research photo", "attribution": "(c) odobenine, some rights reserved (CC BY)", "license": "CC-BY", "sourceUrl": "https://www.inaturalist.org/observations/283260814", "licenseUrl": "https://creativecommons.org/licenses/by/4.0/" } }, { "frameId": "inat-photo-340813928", "cohort": "ai-photo", "referenceAuthority": "ai", "isNegativeControl": false, "imageSha256": "e73ee8e754fbf81a73a502015cc7b3e4db49850b8eba09513b790c872b3f4d47", "width": 2048, "height": 1536, "referenceComplete": false, "notes": "Several narrow dark hollow trumpets grow among pine needles; rear mushrooms are blurred. Reference is the isolated left foreground trumpet; the central and right clusters remain unboxed.", "targetUnit": "selected AI region; can be a body or cluster", "source": { "title": "Licensed research photo", "attribution": "(c) zm77, some rights reserved (CC BY)", "license": "CC-BY", "sourceUrl": "https://www.inaturalist.org/observations/193959740", "licenseUrl": "https://creativecommons.org/licenses/by/4.0/" } }, { "frameId": "inat-photo-753536713", "cohort": "ai-photo", "referenceAuthority": "ai", "isNegativeControl": false, "imageSha256": "0069539478012318ae393a8164221c423e2d19a1d9567c0d956fbde6e99c7029", "width": 1536, "height": 2048, "referenceComplete": false, "notes": "Bright orange and yellow layered brackets grow on rough tree bark. Reference is the isolated upper cluster; the large lower flush and small middle-right patch remain unboxed.", "targetUnit": "selected AI region; can be a body or cluster", "source": { "title": "Licensed research photo", "attribution": "no rights reserved", "license": "CC0", "sourceUrl": "https://www.inaturalist.org/observations/407628020", "licenseUrl": "https://creativecommons.org/publicdomain/zero/1.0/" } }, { "frameId": "inat-photo-745021054", "cohort": "ai-photo", "referenceAuthority": "ai", "isNegativeControl": false, "imageSha256": "234082a8a5d1f5d3ae53a783008ecde8028fa3aefb2abdbc48873beb66e2da37", "width": 1536, "height": 2048, "referenceComplete": false, "notes": "Several small vivid orange lobed fruiting bodies contrast with brown leaf litter. Reference is the upper central cluster; smaller lower caps remain unboxed. Group identity needs closer underside examination.", "targetUnit": "selected AI region; can be a body or cluster", "source": { "title": "Licensed research photo", "attribution": "(c) Luis Ángel Niño Barreat, some rights reserved (CC BY)", "license": "CC-BY", "sourceUrl": "https://www.inaturalist.org/observations/405595223", "licenseUrl": "https://creativecommons.org/licenses/by/4.0/" } }, { "frameId": "inat-photo-757986677", "cohort": "ai-photo", "referenceAuthority": "ai", "isNegativeControl": false, "imageSha256": "ab3c5bd17126e93f65ec168f1f15c50a4b12f737be2fe8ee10c359143359b887", "width": 1152, "height": 2048, "referenceComplete": false, "notes": "A dense grey-brown rosette of overlapping fan-shaped caps with pale margins rests against tree bark. Reference encloses the complete main cluster; attached leaves are excluded where practical.", "targetUnit": "selected AI region; can be a body or cluster", "source": { "title": "Licensed research photo", "attribution": "(c) caher001, some rights reserved (CC BY)", "license": "CC-BY", "sourceUrl": "https://www.inaturalist.org/observations/411984804", "licenseUrl": "https://creativecommons.org/licenses/by/4.0/" } }, { "frameId": "youtube-m9aGEh33w0I-043", "cohort": "human-video", "referenceAuthority": "human", "isNegativeControl": false, "imageSha256": "1e5d6fb0c24aa3ef747447832527c361a5ccd7c2119151ab16e131cd249d9af7", "width": 1280, "height": 720, "referenceComplete": true, "notes": "Earlier complete human annotation", "targetUnit": "saved human annotation region", "source": { "title": "Ep.482- How to find black morels", "attribution": "Joshua McConkey Fishing / Ep.482- How to find black morels / CC BY (YouTube); sampled RGB frames, JPEG quality 95, no resizing or enhancement", "license": "CC BY (YouTube)", "sourceUrl": "https://www.youtube.com/watch?v=m9aGEh33w0I", "licenseUrl": "https://support.google.com/youtube/answer/2797468?hl=en" } }, { "frameId": "youtube-m9aGEh33w0I-005", "cohort": "human-video", "referenceAuthority": "human", "isNegativeControl": false, "imageSha256": "72bcfbf6cad61c408554897eb685cae586b0c41c0136cc560f21ddcb7e1f64ef", "width": 1280, "height": 720, "referenceComplete": true, "notes": "Earlier complete human annotation", "targetUnit": "saved human annotation region", "source": { "title": "Ep.482- How to find black morels", "attribution": "Joshua McConkey Fishing / Ep.482- How to find black morels / CC BY (YouTube); sampled RGB frames, JPEG quality 95, no resizing or enhancement", "license": "CC BY (YouTube)", "sourceUrl": "https://www.youtube.com/watch?v=m9aGEh33w0I", "licenseUrl": "https://support.google.com/youtube/answer/2797468?hl=en" } }, { "frameId": "youtube-m9aGEh33w0I-022", "cohort": "human-video", "referenceAuthority": "human", "isNegativeControl": false, "imageSha256": "945b0ac1f043694921cfcbcc6b749118b032628f80631104f62b373ee18d2a4f", "width": 1280, "height": 720, "referenceComplete": true, "notes": "Earlier complete human annotation", "targetUnit": "saved human annotation region", "source": { "title": "Ep.482- How to find black morels", "attribution": "Joshua McConkey Fishing / Ep.482- How to find black morels / CC BY (YouTube); sampled RGB frames, JPEG quality 95, no resizing or enhancement", "license": "CC BY (YouTube)", "sourceUrl": "https://www.youtube.com/watch?v=m9aGEh33w0I", "licenseUrl": "https://support.google.com/youtube/answer/2797468?hl=en" } }, { "frameId": "youtube-m9aGEh33w0I-040", "cohort": "human-video", "referenceAuthority": "human", "isNegativeControl": true, "imageSha256": "aa8431098fd623c3031b45f34c2f5bc181a6799479b6a6a4ef5ab09a1bcefb5e", "width": 1280, "height": 720, "referenceComplete": true, "notes": "Earlier complete human annotation", "targetUnit": "whole native absence opinion", "source": { "title": "Ep.482- How to find black morels", "attribution": "Joshua McConkey Fishing / Ep.482- How to find black morels / CC BY (YouTube); sampled RGB frames, JPEG quality 95, no resizing or enhancement", "license": "CC BY (YouTube)", "sourceUrl": "https://www.youtube.com/watch?v=m9aGEh33w0I", "licenseUrl": "https://support.google.com/youtube/answer/2797468?hl=en" } }, { "frameId": "youtube-OhN1BQgK2L8-008", "cohort": "ai-photo", "referenceAuthority": "ai", "isNegativeControl": true, "imageSha256": "276fc0a2c36e4a028bb6505264d0fe7a34efae295fcb092111afbaa64767e03a", "width": 1280, "height": 720, "referenceComplete": true, "notes": "Person wearing a black baseball cap and glasses, holding a bottle; black cap and ridged tree bark are nonfungal objects.", "targetUnit": "whole native absence opinion", "source": { "title": "Foraging Morel Mushrooms and Pheasant backs!", "attribution": "Snow Vision Outdoors / Foraging Morel Mushrooms and Pheasant backs! / CC BY (YouTube); sampled RGB frames, JPEG quality 95, no resizing or enhancement", "license": "CC BY (YouTube)", "sourceUrl": "https://www.youtube.com/watch?v=OhN1BQgK2L8", "licenseUrl": "https://support.google.com/youtube/answer/2797468?hl=en" } }, { "frameId": "youtube-OhN1BQgK2L8-048", "cohort": "ai-photo", "referenceAuthority": "ai", "isNegativeControl": true, "imageSha256": "a380b800d2f3a874f94f1ee84ec877dfff7a8f731f719fd02732d66a7cdde04c", "width": 1280, "height": 720, "referenceComplete": true, "notes": "Two fallen trunks, dry stems and leaves dominate a clear view; no discernible mushroom fruiting body.", "targetUnit": "whole native absence opinion", "source": { "title": "Foraging Morel Mushrooms and Pheasant backs!", "attribution": "Snow Vision Outdoors / Foraging Morel Mushrooms and Pheasant backs! / CC BY (YouTube); sampled RGB frames, JPEG quality 95, no resizing or enhancement", "license": "CC BY (YouTube)", "sourceUrl": "https://www.youtube.com/watch?v=OhN1BQgK2L8", "licenseUrl": "https://support.google.com/youtube/answer/2797468?hl=en" } }, { "frameId": "youtube-go_1s6wVScI-027", "cohort": "ai-photo", "referenceAuthority": "ai", "isNegativeControl": true, "imageSha256": "045ec1ca95f1e36390f2430ca1f2e5b538417ea9f9e71a5ba03ba42766a76145", "width": 640, "height": 360, "referenceComplete": true, "notes": "Person's legs and shoes beside a ridged fallen trunk and leaves; visible trunk surfaces show bark fissures rather than mushroom fruiting bodies.", "targetUnit": "whole native absence opinion", "source": { "title": "HUNTING FOR MOREL - MUSHROOM FORAGING | Connie's RAWsome kitchen", "attribution": "Connie's RAWsome kitchen / HUNTING FOR MOREL - MUSHROOM FORAGING | Connie's RAWsome kitchen / CC BY (YouTube); sampled RGB frames, JPEG quality 95, no resizing or enhancement", "license": "CC BY (YouTube)", "sourceUrl": "https://www.youtube.com/watch?v=go_1s6wVScI", "licenseUrl": "https://support.google.com/youtube/answer/2797468?hl=en" } }, { "frameId": 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Four older AI video absence opinions were tested only at native resolution. Unmatched boxes on incomplete photographs are not established false positives." } ], "protocol": { "detectorName": "GroundingDINO local model", "modelSha256": "1a2412ef99bd74bcd3c2a246fa1e48581f8889a1300c9051974741314fc042f3", "protocolSha256": "fa4e092b6118fc3888c6cae89e4e5ff539ae390f6321fe0529427562fe08d3ef", "scoreThreshold": 0.25, "iouThreshold": 0.5, "canvasWidth": 1920, "canvasHeight": 1080, "focalLengthPixels": 1380, "assumedTargetWidthMetres": 0.05, "weightsChanged": false, "trainingPerformed": false, "actualDistanceM": null, "workers": 2, "torchThreadsPerWorker": 4, "uniquePersistedModelPasses": 505, "elapsedWallSeconds": 3255.637686, "summedSceneInferenceSeconds": 5708.2916604001075, "transformDescription": "Each whole source scene shrinks onto a 1920 by 1080 RGB127 gray canvas at a fixed, hash-derived position. Sixteen-times fractional coverage is integrated to the saved pixels. The scene is never re-enlarged to native size. Original inputs retain their native dimensions. Both methods receive the identical saved bytes; tiled scanning adds four overlapping tiles to the shared whole-frame context pass.", "notes": "Development stress test, not independent field accuracy or calibrated drone range. The illustrative 10/20/50/100 m labels assume a 5 cm target and a 1380 px focal length; actual organism sizes, camera intrinsics and distances were not measured. A selected region can be a cluster. The previous round-4 downsample-then-restore information-loss test is different and must not be merged with this curve. Two concurrent CPU workers used four Torch threads each; method timings include contention and cannot be compared directly with earlier sequential CPU timings. Tiled timing includes the shared raw pass, so adding raw and tiled time double-counts it. All five negative controls are native-only, separated by human versus AI authority. Extra selected-region overlaps are counted as unmatched alerts; no accuracy conclusion is assigned to unmarked regions in incomplete photographs. An independent read-only audit found broad detector alerts in tiles containing only uniform RGB127 padding. Synthetic extra-box totals therefore include padding artifacts and are not field false-positive rates; no alert was removed or rescored after observing this behavior.", "limitations": [ "Previously inspected reference regions are a development regression, not independent field accuracy.", "Three human targets share one video; nine AI photo targets remain approximate and incomplete, including clusters as well as individual bodies.", "All synthetic views shrink the whole source onto a fixed 1920x1080 RGB127 canvas with 16x coverage integration. They are never re-enlarged to native footprint.", "Gray borders, scene edges, fixed placement, resampling and model resizing differ from real camera motion; no new optical detail is created.", "Placement is SHA-derived before inference; focal positions are clamped only to keep the entire scene inside the canvas. Actual tile coverage is recorded.", "Fractional widths and heights describe projected annotation geometry, not guaranteed recoverable fungal texture. A subpixel width may have a height above one pixel.", "10/20/50/100 metres are illustrative only: widthPixels = 1380px * 0.05m / distance. The sources have no measured lens, organism width or range.", "The old round-4 downsample-then-re-enlarge test is a separate information-loss experiment and is not the small-footprint curve reported here.", "Each region can match at most one prediction. Extra overlaps and other unmatched boxes are reported; incomplete AI positives cannot establish false-positive rates.", "Five negative controls are native-only: one saved human absence and four earlier AI absence opinions. They establish no distance-dependent false-positive rate.", "Two isolated CPU workers use four Torch threads each. Tiled timing includes its shared raw context pass; method times must not be added as elapsed runtime.", "Concurrent-worker latency includes CPU contention and is not directly comparable to earlier sequential-worker timing.", "No training, score tuning, active-model changes, source-label changes or aircraft commands occur." ], "recovery": { "occurred": true, "reason": "file-lock", "retainedScenes": 92, "recoveredScenes": 9, "totalScenes": 101, "uniquePersistedModelPasses": 505, "totalAttemptedModelPasses": null, "totalAttemptedWorkKnown": false, "notes": "Original failed report and92saved predictions are preserved unchanged. Only9missing frozen jobs are rerun. The failed executor may have completed unrecorded in-flight work, so total attempted forwards are unknown.505means unique persisted planned forwards, not a clean uninterrupted505forward run. Elapsed wall time includes the interruption and recovery." }, "independentVerificationSha256": "a2a9de1a50e3dd83082eeed1858caef20e5c1bf674dcc89922a06e940a4e472b", "reportSha256": "03748dcbd6a960024c395a3ba94aad25ea10e214efa496fcbe8a5d98f3cf7e04", "verificationScope": "Independent consistency and localization recount from saved predictions and frozen pixels; not independent human confirmation or proof of field accuracy." } }