Publish insectnet-research-0.2.0-perch2 audited research artifact

README.md

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+---
+license: cc-by-nc-sa-4.0
+library_name: scikit-learn
+tags:
+  - audio-classification
+  - bioacoustics
+  - perch
+  - insects
+  - research
+---
+
+# InsectNet Research 0.2.0 — Perch 2
+
+A reproducible research classifier for broad insect presence, cicadas, and Orthoptera,
+fitted on frozen 1,536-dimensional Google Perch 2 embeddings.
+
+> **Status: trained research artifact, not field-ready and not deployed.** The locked
+> independent dog challenge produced broad insect activations in 11/26 windows. Do not
+> use this model for unattended ecological counts or alerts.
+
+**Artifact SHA-256:** `27bf603a6dec2df2789b3bf9241f5e035ccdea5909c4ecf252623ff9304afe32`  
+**Dataset hash:** `d59cde46a933b85c1cd46f944c6df5c9c6a7587efe7c354b5cbe22b2d0698240`
+
+## Outputs
+
+| Head | Locked threshold | Parent |
+|---|---:|---|
+| `insect_present` | 0.25 | — |
+| `cicada` | 0.08 | `insect_present` |
+| `orthoptera` | 0.74 | `insect_present` |
+
+The fitted heads are independent probabilities, not a softmax. The serialized inference
+contract suppresses subtype outputs unless `insect_present` also passes.
+
+The source evidence supports Cicadidae versus broad Orthoptera. It does **not** support
+inventing cricket/katydid versus grasshopper labels.
+
+## Feature contract
+
+- Backbone: Google Perch 2 CPU release
+- Audio input to Perch: five seconds, 32 kHz, mono, float32
+- Input to this artifact: one 1,536-dimensional Perch embedding
+- Verified Perch model-tree SHA-256: `3fb2d54b3e34534f1130052b25737e54bbb5ebfd340ec040d4510772b64c81ff`
+- Perch weights are not included
+
+The official Perch code repository is Apache-2.0. The available Kaggle metadata did not
+expose a separate model-weight license during this build, so this card does not extend
+the code license to the weights by assumption.
+
+## Training data
+
+| Source | Windows | Role | Rights |
+|---|---:|---|---|
+| InsectSet459 | 2,096 | insect positives | 1,727 CC BY 4.0; 369 CC0 |
+| ESC-50 | 1,960 | environmental negatives; insect class excluded | CC BY-NC 3.0 |
+| Ross-308 | 317 | poultry and ventilation hard negatives | CC BY 4.0 |
+| iNaturalist Domestic Chicken | 42 | observer-grouped hard negatives | CC BY 4.0 / CC0 |
+| iNaturalist Domestic Cat | 26 | observer-grouped hard negatives | CC BY 4.0 / CC0 |
+| **Total** | **4,441** | | mixed research lane |
+
+InsectSet459 contains 2,096 unique permissive Train/Validation observations from 334
+contributor groups: 1,009 cicada and 1,087 Orthoptera windows. Group IDs, not windows,
+were assigned to train, validation, and test.
+
+No source audio is redistributed here.
+
+## Internal grouped evaluation
+
+| Head | Test support | AP | Precision | Recall | F1 |
+|---|---:|---:|---:|---:|---:|
+| insect present | 236 | 0.987 | 0.947 | 0.979 | 0.963 |
+| cicada | 102 | 0.959 | 0.856 | 0.931 | 0.892 |
+| Orthoptera | 134 | 0.943 | 0.885 | 0.866 | 0.875 |
+
+Test macro AP: **0.963**. Test macro F1: **0.910**.
+
+These results show that the grouped source partitions are learnable. They do not establish
+stationary-microphone field reliability.
+
+## Locked independent dog challenge
+
+The final artifact was scored once on 26 permissively licensed Domestic Dog sounds from
+26 observers. These samples were not used for fitting or threshold selection.
+
+| Output | Raw head crossings | Hierarchy-gated outputs |
+|---|---:|---:|
+| insect present | 11/26 | 11/26 |
+| cicada | 7/26 | 5/26 |
+| Orthoptera | 4/26 | 2/26 |
+
+Outdoor taxon recordings may contain incidental insects, but a **42.3% broad activation
+rate** is too high to treat this model as field-ready.
+
+## Private stationary-microphone activation audit
+
+A private reviewed frog archive supplied 1,308 five-second windows from 436 recordings.
+It was reviewed for frog presence, not insect absence, so these are activation rates—not
+false-positive rates:
+
+| Output | Hierarchy-gated activations |
+|---|---:|
+| insect present | 1,207/1,308 — 92.3% |
+| cicada | 68/1,308 — 5.2% |
+| Orthoptera | 820/1,308 — 62.7% |
+
+Summer frog recordings can contain real insects. Listening review is required before any
+of these activations can be called errors. No private paths or audio are included here.
+
+## Use
+
+```python
+import joblib
+from insectnet.candidate import active_labels, predict_candidate
+
+package = joblib.load("insectnet-research-0.2.0-perch2.joblib")
+embedding = ...  # shape (N, 1536), from the verified Perch 2 feature contract
+scores = predict_candidate(package, embedding)
+labels = [active_labels(package, row) for row in scores]
+```
+
+Do not feed waveforms directly into this artifact.
+
+## What is validated
+
+- Exact data, window, embedding, and artifact hashes are recorded.
+- Contributor/observer/source groups do not cross partitions.
+- Only CC0, CC BY, and the explicitly noncommercial ESC-50 research lane were used.
+- Broad/subtype hierarchy is serialized and tested.
+- The model loads and scores finite Perch embeddings.
+- Internal grouped metrics and independent challenge failures are both published.
+
+## What is not validated
+
+- local field precision or recall
+- unattended field detections
+- species-level insect identity
+- cricket/katydid versus grasshopper separation
+- robustness to frogs, ventilation, rain, distant birds, or recorder changes
+- calibrated ecological abundance estimates
+
+## Known failure mode and next research requirement
+
+Frozen linear transfer on this corpus still carries source/domain shortcuts. Adding chicken,
+cat, and poultry hard negatives improved known-source rejection but did not generalize to
+the untouched dog challenge. The next serious model should use reviewed same-recorder hard
+negatives, more diverse iNaturalist non-insect taxa, and likely supervised backbone
+fine-tuning or a richer temporal head rather than another threshold-only adjustment.
+
+## Sources
+
+- InsectSet459: `academic-datasets/InsectSet459`, pinned revision documented in provenance
+- ESC-50: Piczak, DOI `10.1145/2733373.2806390`
+- Ross-308: Díaz de Cerio et al., DOI `10.34810/DATA3437`
+- Perch: Ghani et al., *Global birdsong embeddings enable superior transfer learning for bioacoustic classification* (2023)
+
+Exact source summaries, hashes, metrics, and challenge reports are included beside the
+artifact.

SHA256SUMS

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inat_dog_negative_challenge_report.json

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insectnet-research-0.2.0-perch2.joblib

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private_local_frog_activation_report.json

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provenance/esc50-source.json

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+  "license_spdx": "CC-BY-NC-3.0",
+  "metadata_sha256": "ca660da60191a97de289983a05821c9382d852a38a2ba8428980816b68cf6246",
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+  "split_policy": "deterministic SHA-256 split by original Freesound src_file: 70/15/15",
+  "title": "ESC-50"
+}

provenance/esc50-summary.json

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+    "crying_baby": 40,
+    "dog": 40,
+    "door_wood_creaks": 40,
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provenance/inat-cat-negatives-summary.json

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+  "partitions": {
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+}

provenance/inat-chicken-negatives-summary.json

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+}

provenance/inat-dog-challenge-summary.json

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+}

provenance/insectset459-source.json

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+{
+  "accepted_licenses": [
+    "CC-BY-4.0",
+    "CC0-1.0"
+  ],
+  "annotation": {
+    "bytes": 6860191,
+    "filename": "InsectSet459_Train_Val_Test_Annotation.csv",
+    "sha256": "8fb04756ac82f0a467f7303f8071ab4b14d573952cbe5cb30669c084be02850a",
+    "upstream_checksum": "md5:f3cb378e2c3b8ba5704f37ee0bb6d8a6"
+  },
+  "notes": [
+    "HF conversion exposes train and validation only; original test archive is absent.",
+    "Partitions are reassigned deterministically by contributor to prevent contributor leakage.",
+    "One centered five-second weak-label window is derived per retained recording.",
+    "The source supports Cicadidae versus Orthoptera; no unsupported suborder label is inferred."
+  ],
+  "repository": "https://huggingface.co/datasets/academic-datasets/InsectSet459",
+  "repository_revision": "11b209dd8754ee45128c258e5337b69f2acaafbd",
+  "retrieved_at": "2026-07-15T14:48:56-04:00",
+  "rights_lane": "core_releasable",
+  "schema_version": 1,
+  "source_id": "insectset459-v1.1-hf-11b209d",
+  "taxonomy_authority": "GBIF Species API v1",
+  "taxonomy_manifest_sha256": "f90aea77a7d5a151f953456b84a469634544fefb8bc8a93178dce5f2900af23f",
+  "title": "InsectSet459 v1.1 permissive subset",
+  "version_doi": "10.5281/zenodo.18554693"
+}

provenance/insectset459-summary.json

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+{
+  "complete_permissive_train_validation_observation_set": true,
+  "completion_method": "HF Parquet permissive rows plus direct original URLs from frozen annotation manifest",
+  "direct_failures": 0,
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+    "orthoptera": 1087
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provenance/ross308-negatives-summary.json

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training_summary.json

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