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            {
              "image_id": "coralscapes_01",
              "f1": 0.24647834987905756
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              "image_id": "coralscapes_02",
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              "image_id": "coralscapes_05",
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              "image_id": "coralscapes_06",
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              "image_id": "coralscapes_07",
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              "image_id": "coralscapes_08",
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              "image_id": "coralscapes_09",
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              "image_id": "coralscapes_10",
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          "annotated_boundary_mean": 0.03768124393727508,
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        "s10": {
          "name": "Our technology · 10%",
          "mean": 0.26594125540804014,
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            {
              "image_id": "coralscapes_01",
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              "image_id": "coralscapes_02",
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              "image_id": "coralscapes_04",
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              "image_id": "coralscapes_06",
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              "image_id": "coralscapes_07",
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              "image_id": "coralscapes_08",
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              "image_id": "coralscapes_09",
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              "image_id": "coralscapes_10",
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          ],
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          "annotated_boundary_n": 10
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      },
      "paired_comparisons": {
        "s05_vs_whole": {
          "mean_difference": 0.39518687465566077,
          "wins": 10,
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          "n": 10
        },
        "s05_vs_sam3": {
          "mean_difference": 0.4000391390100577,
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        "s10_vs_whole": {
          "mean_difference": 0.22494183865716572,
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      }
    },
    {
      "dataset": "pmid",
      "title": "Aquatic microscopy",
      "images": 10,
      "methods": {
        "whole": {
          "name": "DINOv3",
          "mean": 0.028068520475573854,
          "sample_sd": 0.0073911995894940085,
          "n": 10,
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            {
              "image_id": "pmid_01",
              "f1": 0.024427939920495786
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            {
              "image_id": "pmid_02",
              "f1": 0.02715956653727992
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            {
              "image_id": "pmid_03",
              "f1": 0.03213030493948211
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            {
              "image_id": "pmid_04",
              "f1": 0.03162902463171502
            },
            {
              "image_id": "pmid_05",
              "f1": 0.023764146421987306
            },
            {
              "image_id": "pmid_06",
              "f1": 0.01852718668321354
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            {
              "image_id": "pmid_07",
              "f1": 0.029043077722834897
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            {
              "image_id": "pmid_08",
              "f1": 0.0443840532936276
            },
            {
              "image_id": "pmid_09",
              "f1": 0.029833177504373837
            },
            {
              "image_id": "pmid_10",
              "f1": 0.019786727100728464
            }
          ],
          "annotated_boundary_mean": null,
          "annotated_boundary_n": 0
        },
        "sam3": {
          "name": "SAM3",
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          "sample_sd": 0.031691730347725676,
          "n": 10,
          "median": 0.07773808770380888,
          "scores": [
            {
              "image_id": "pmid_01",
              "f1": 0.07344830651164713
            },
            {
              "image_id": "pmid_02",
              "f1": 0.046990380259832154
            },
            {
              "image_id": "pmid_03",
              "f1": 0.0689773605057349
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            {
              "image_id": "pmid_04",
              "f1": 0.1226196316876787
            },
            {
              "image_id": "pmid_05",
              "f1": 0.062300823687330774
            },
            {
              "image_id": "pmid_06",
              "f1": 0.07956332696856397
            },
            {
              "image_id": "pmid_07",
              "f1": 0.14513606682809777
            },
            {
              "image_id": "pmid_08",
              "f1": 0.12167933922927718
            },
            {
              "image_id": "pmid_09",
              "f1": 0.10710930503108572
            },
            {
              "image_id": "pmid_10",
              "f1": 0.07591284843905378
            }
          ],
          "annotated_boundary_mean": null,
          "annotated_boundary_n": 0
        },
        "s05": {
          "name": "Our technology · 5%",
          "mean": 0.4555654211073564,
          "sample_sd": 0.11847755518021147,
          "n": 10,
          "median": 0.4927078720099989,
          "scores": [
            {
              "image_id": "pmid_01",
              "f1": 0.19171244037154797
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            {
              "image_id": "pmid_02",
              "f1": 0.4985030379871189
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            {
              "image_id": "pmid_03",
              "f1": 0.4732840405077838
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            {
              "image_id": "pmid_04",
              "f1": 0.5228170056328157
            },
            {
              "image_id": "pmid_05",
              "f1": 0.5969344115575956
            },
            {
              "image_id": "pmid_06",
              "f1": 0.33109126398951516
            },
            {
              "image_id": "pmid_07",
              "f1": 0.4869127060328788
            },
            {
              "image_id": "pmid_08",
              "f1": 0.4000311721370357
            },
            {
              "image_id": "pmid_09",
              "f1": 0.5378949768676985
            },
            {
              "image_id": "pmid_10",
              "f1": 0.5164731559895744
            }
          ],
          "annotated_boundary_mean": null,
          "annotated_boundary_n": 0
        },
        "s10": {
          "name": "Our technology · 10%",
          "mean": 0.28821301820223283,
          "sample_sd": 0.13816206494399677,
          "n": 10,
          "median": 0.3683619223311319,
          "scores": [
            {
              "image_id": "pmid_01",
              "f1": 0.058239872009496194
            },
            {
              "image_id": "pmid_02",
              "f1": 0.4101460626868934
            },
            {
              "image_id": "pmid_03",
              "f1": 0.1958256356144527
            },
            {
              "image_id": "pmid_04",
              "f1": 0.35995403536985543
            },
            {
              "image_id": "pmid_05",
              "f1": 0.42081280985657143
            },
            {
              "image_id": "pmid_06",
              "f1": 0.1197240189962344
            },
            {
              "image_id": "pmid_07",
              "f1": 0.3767698092924084
            },
            {
              "image_id": "pmid_08",
              "f1": 0.16167504335721475
            },
            {
              "image_id": "pmid_09",
              "f1": 0.38623291877944005
            },
            {
              "image_id": "pmid_10",
              "f1": 0.39274997605976125
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          ],
          "annotated_boundary_mean": null,
          "annotated_boundary_n": 0
        }
      },
      "paired_comparisons": {
        "s05_vs_whole": {
          "mean_difference": 0.4274969006317826,
          "wins": 10,
          "ties": 0,
          "n": 10
        },
        "s05_vs_sam3": {
          "mean_difference": 0.36519168219252623,
          "wins": 10,
          "ties": 0,
          "n": 10
        },
        "s10_vs_whole": {
          "mean_difference": 0.260144497726659,
          "wins": 10,
          "ties": 0,
          "n": 10
        },
        "s10_vs_sam3": {
          "mean_difference": 0.19783927928740258,
          "wins": 9,
          "ties": 0,
          "n": 10
        }
      }
    }
  ],
  "images": 50,
  "methods": {
    "whole": "DINOv3",
    "sam3": "SAM3",
    "s05": "Our technology · 5%",
    "s10": "Our technology · 10%"
  },
  "primary_metric": "RGB-edge F1: an appearance proxy, not biological object or species accuracy.",
  "metric_calculation": "Grayscale luminance 0.2126R+0.7152G+0.0722B; Gaussian sigma=1; Sobel gradients; strongest15% eligible gradients with minimum threshold1e-6. Predicted boundaries are changes in neighboring partition labels. Precision and recall match edges within Manhattan distance2 working pixels. F1=2PR/(P+R). Two-pixel image margins excluded.",
  "clustering": "Fixed KMeans K=6 for DINOv3 and local5/10, using16 unwhitened PCA axes; 8192 same fitting locations,n_init10,seed42. Separate fitted centers per method. This benchmark predates automatic K selection and does not score GMM lambda4.",
  "local_treatment": "Crop enlargement384x384,four inverse-aligned flips,approximately75% overlap,Hann blending,noAnyUp.",
  "sam3": "HuggingFace automatic MaskGenerationPipeline/Sam3TrackerModel; zero user-supplied prompts; highest predictedIoU overlap resolution; threshold0.88 and stability0.95.",
  "error_bars": "Sample standard deviation across ten images, not confidence intervals. Equal weight per photograph.",
  "conclusion": "Both5% and10% have higher mean RGB-edge F1 than DINOv3 and SAM3 in each of five domains. This conclusion is specific to these sampled photographs and this appearance metric.",
  "annotation_caveat": "Only Coralscapes has eligible annotated pixel class boundaries here. Its mean boundaryF1 is higher for SAM3 than for either local focus scale. Box annotations are not used as pixel masks; missing references are not zero scores.",
  "inference_reused": true
}
