Instructions to use TheVortexProject/insectnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use TheVortexProject/insectnet with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("TheVortexProject/insectnet", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
| # Data and model provenance | |
| ## Preserved claim | |
| This repository preserves one v0.1 classifier artifact with an independently verified SHA-256. The artifact consumes 6,522-dimensional output logits from the declared BirdNET v2.4 FP16 TFLite backbone. | |
| The exact original per-record training snapshot no longer survives. Therefore this release does not claim to be independently reproducible from raw source media. | |
| ## Surviving source-family record | |
| | Source family | Surviving license information | Release treatment | | |
| |---|---|---| | |
| | InsectSet459 | Dataset card states CC BY 4.0; source material may also be CC0 | Named as a source family; media not redistributed | | |
| | ESC-50 | CC BY-NC 3.0 | Named as a source family; media not redistributed | | |
| | iNaturalist audio | License varies by individual recording | No blanket license asserted; media not redistributed | | |
| | Private field negatives | Private research evidence | Not redistributed and location omitted | | |
| | BirdNET backbone | Separate upstream model terms apply | Backbone is not redistributed here | | |
| ## Missing evidence | |
| The following v0.1 records are unavailable: | |
| - exact source-file list and per-record licenses; | |
| - exact normalized window manifest; | |
| - grouped train/evaluation split; | |
| - threshold-selection report; | |
| - complete field-review ledger linked to this exact artifact; | |
| - original environment lockfile. | |
| These gaps are recorded rather than reconstructed from later experimental branches. | |
| ## Release rule | |
| A future model version must include: | |
| 1. artifact SHA-256 and byte size; | |
| 2. feature extractor identity and checksum; | |
| 3. ordered classes and independent thresholds; | |
| 4. source/window manifest digest; | |
| 5. per-record source and license provenance; | |
| 6. grouped split policy and seed; | |
| 7. scoped metrics and known false positives; | |
| 8. code commit and runtime source checksum; | |
| 9. deployment target and rollback artifact; | |
| 10. privacy-reviewed public documentation. | |
| Model outputs remain assertions for review. They do not become confirmed observations without human validation. | |