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  "conformsTo": "http://mlcommons.org/croissant/1.1",
  "version": "1.0.0",
  "name": "InSpect",
  "description": "\n\t\n\t\t\n\t\tInsectSpec\n\t\n\nInsectSpec is a curated natural history collection dataset for visual insect specimen understanding. It contains digitized insect specimen images with aligned crops, hierarchical taxonomy, label-derived structured metadata, and fine-grained anatomical part annotations.\n\n\t\n\t\t\n\t\tFiles\n\t\n\n\nspecimen_benchmark_metadata.csv: main metadata table. Each row corresponds to one specimen image and includes split information, taxonomic labels, image/crop paths, and label-derived… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-dataset/InSpect.",
  "alternateName": [
    "anonymous-dataset/InSpect",
    "InsectSpec"
  ],
  "creator": {
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    "name": "anonymous-dataset",
    "url": "https://huggingface.co/anonymous-dataset"
  },
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    "image-classification",
    "zero-shot-image-classification",
    "image-segmentation",
    "cc-by-nc-4.0",
    "10K - 100K",
    "csv",
    "Image",
    "Tabular",
    "Text",
    "Datasets",
    "pandas",
    "Polars",
    "Croissant",
    "🇺🇸 Region: US",
    "insects",
    "biodiversity",
    "natural-history-collections",
    "taxonomy",
    "open-vocabulary-recognition",
    "segmentation",
    "anatomical-part-segmentation"
  ],
  "license": "https://choosealicense.com/licenses/cc-by-nc-4.0/",
  "url": "https://huggingface.co/datasets/anonymous-dataset/InSpect",
  "rai:dataLimitations": "InSpect is built from preserved insect specimens from the Australian National Insect Collection, so it reflects the taxonomic, geographic, temporal, imaging, and curation scope of this collection. It is designed for digitized museum specimen images, not live insects, field photographs, or other collections without additional validation. The dataset is long-tailed, crop quality varies, metadata is incomplete and noisy, and fine-grained part masks are available only for a curated subset. It should not be used for automated taxonomic decisions, commercial identification, ecological deployment, or conservation decisions without expert review.",
  "rai:dataBiases": "InSpect may contain taxonomic, geographic, temporal, and collection-specific biases from its source collection. Some taxa are much more represented than others, and images were selected for identifiable species names and sufficient visual quality. Metadata fields are unevenly available and may encode collection-specific correlations such as locality, collector, or time period. Models trained on this dataset may learn these dataset-specific patterns rather than robust biological cues.",
  "rai:personalSensitiveInformation": "The dataset does not contain human-subject images, surveillance data, health data, political or religious information, or protected human attributes. Some metadata fields may include names of taxonomic authorities, collectors, or determiners from specimen labels; these are treated as scientific provenance metadata and should not be used to profile individuals. The dataset may include locality or coordinate information, which can be sensitive for rare or vulnerable species.",
  "rai:dataUseCases": "InSpect is intended for research on digitized insect specimen understanding, open taxonomic recognition, label-derived metadata analysis, and fine-grained anatomical part segmentation. It has been validated through benchmark experiments on zero-shot/fine-tuned recognition and supervised/text-guided segmentation. It has not been validated for live insects, field images, commercial identification, automated taxonomy, or conservation decision-making without expert review.",
  "rai:dataSocialImpact": "InSpect is intended for research on digitized insect specimen understanding, open taxonomic recognition, label-derived metadata analysis, and fine-grained anatomical part segmentation. It has been validated through benchmark experiments on zero-shot/fine-tuned recognition and supervised/text-guided segmentation. It has not been validated for live insects, field images, commercial identification, automated taxonomy, or conservation decision-making without expert review.",
  "rai:hasSyntheticData": false,
  "prov:wasDerivedFrom": [
    {
      "@id": "https://www.csiro.au/en/about/facilities-collections/Collections/ANIC",
      "prov:label": "Australian National Insect Collection (ANIC)",
      "sc:license": "CC BY-NC 4.0",
      "prov:wasAttributedTo": {
        "@id": "https://www.csiro.au/",
        "prov:label": "CSIRO / Australian National Insect Collection"
      }
    }
  ],
  "prov:wasGeneratedBy": [
    {
      "@type": "prov:Activity",
      "prov:type": {
        "@id": "https://www.wikidata.org/wiki/Q4929239"
      },
      "prov:label": "ANIC specimen image collection",
      "sc:description": "Digitized preserved insect specimen images were obtained from the Australian National Insect Collection (ANIC). The source images were captured under indoor collection imaging conditions and contain single insect specimens together with their physical specimen labels.",
      "prov:wasAttributedTo": [
        {
          "@type": "prov:Agent",
          "@id": "australian_national_insect_collection_/_csiro",
          "prov:label": "Australian National Insect Collection / CSIRO",
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        }
      ]
    },
    {
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      "prov:type": {
        "@id": "https://www.wikidata.org/wiki/Q1172378"
      },
      "prov:label": "Image filtering and insect cropping",
      "sc:description": "We filtered the source images to retain specimens with identifiable species-level names and sufficient visual quality. Insect regions were detected using Grounding DINO and manually inspected to obtain accurate aligned crops. Recognition and segmentation benchmarks use the cropped insect images to separate visual morphology from physical label text."
    },
    {
      "@type": "prov:Activity",
      "prov:type": {
        "@id": "https://www.wikidata.org/wiki/Q109719325"
      },
      "prov:label": "Anatomical part mask annotation",
      "sc:description": "A curated subset of 1,859 images was annotated with fine-grained anatomical part masks using X-AnyLabeling with SAM-assisted manual refinement. Two annotators annotated and reviewed masks for structures such as head, thorax, abdomen, antennae, legs, wings, and other visible parts."
    },
    {
      "@type": "prov:Activity",
      "prov:type": {
        "@id": "https://www.wikidata.org/wiki/Q109719325"
      },
      "prov:label": "Label-derived metadata extraction",
      "sc:description": "Specimen-label information was extracted from the original collection images using gemma-4-31B-it with a structured prompt. The output was normalized into a fixed key-value schema containing catalog number, taxonomy, locality, coordinates, collection event, biological attributes, determination history, institution, and notes. Missing fields were represented as null."
    },
    {
      "@type": "prov:Activity",
      "prov:type": {
        "@id": "https://www.wikidata.org/wiki/Q3306762"
      },
      "prov:label": "Manual review and correction of annotations and extracted metadata",
      "sc:description": "We manually reviewed and corrected the extracted metadata and anatomical part annotations. For metadata, the structured outputs generated from specimen labels were checked against the original collection images and corrected when fields were missing, incorrectly assigned, or contained direct leakage in notes. For anatomical masks, SAM-assisted annotations were manually inspected and refined to ensure that visible insect parts were assigned to the correct labels and mask boundaries."
    }
  ]
}