Remove obsolete checkpoints

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.avro filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text
+specimen_benchmark_metadata.csv filter=lfs diff=lfs merge=lfs -text
+specimen_benchmark_metadata.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: cc-by-nc-nd-4.0
+pretty_name: InSpect
+task_categories:
+- image-classification
+- zero-shot-image-classification
+- image-segmentation
+tags:
+- insects
+- biodiversity
+- natural-history-collections
+- taxonomy
+- open-vocabulary-recognition
+- segmentation
+- anatomical-part-segmentation
+configs:
+- config_name: metadata
+  data_files:
+  - split: full
+    path: specimen_benchmark_metadata.csv
+---
+
+# InSpect
+
+InSpect 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.
+
+## Files
+
+- `specimen_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 structured metadata.
+- `specimen_benchmark_metadata.jsonl`: JSONL version of the metadata table.
+- `final_benchmark_data_crops.zip`: cropped insect images used for recognition and segmentation.
+- `segmentation_images.zip`: images used for the anatomical part segmentation subset.
+- `segmentation_annotations.zip`: COCO-style anatomical part segmentation annotations.
+- `original_images.zip`: The original images before crop. Most of the images contains on insect and the noisy metadata.
+
+## Dataset Structure
+
+The main metadata file contains the structured records used by the benchmark. The image files and segmentation annotations are provided as compressed archives for download.
+
+Recognition experiments use cropped insect images rather than original full images to avoid direct reading of physical specimen labels. Metadata fields that directly encode taxonomy are removed when evaluating metadata-based recognition.
+
+## Benchmark Tasks
+
+### Open Taxonomic Recognition
+
+Models predict taxon-level labels from cropped insect images. The benchmark includes zero-shot, fine-tuned, and unseen-taxon evaluation, with additional metadata-based settings for probing weak specimen context.
+
+### Fine-grained Anatomical Part Segmentation
+
+Models segment insect anatomical structures such as antennae, legs, wings, head, thorax, and abdomen. The benchmark includes supervised and text-guided open-vocabulary segmentation settings.
+
+## License
+
+This dataset is released for non-commercial research and educational use under the CC BY-NC-ND 4.0 license.

code_and_checkpoints.zip

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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": {
+    "@type": "Person",
+    "name": "anonymous-dataset",
+    "url": "https://huggingface.co/anonymous-dataset"
+  },
+  "keywords": [
+    "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",
+          "sc:description": "Source collection provider"
+        }
+      ]
+    },
+    {
+      "@type": "prov:Activity",
+      "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."
+    }
+  ]
+}

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