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--- |
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license: apache-2.0 |
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base_model: |
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- timm/eva02_large_patch14_448.mim_m38m_ft_in22k_in1k |
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library_name: fastai |
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tags: |
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- Coleoptera |
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- Taxonomy |
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- Biology |
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- Cicindelidae |
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--- |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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This model was trained on all specimens of *Cicindela* tiger beetles from the Field Museum. It is a multilabel model able to identify species and subspecies. See the model config file for all labels included and the publication for metrics. |
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## Model Details |
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This model is based on the pre-trained [eva02_large_patch14_448](https://huggingface.co/timm/eva02_large_patch14_448.mim_m38m_ft_in22k_in1k) from the timm library. |
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The training included several tricks to allow multilabel training with an imbalanced dataset, see the publication for details. |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** Bruno A. S. de Medeiros, Negaunee Assistant Curator of Pollinating Insects, Field Museum. |
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- **Model type:** Image classification |
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- **License:** Apache 2.0 |
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- **Finetuned from model [optional]:** [eva02_large_patch14_448](https://huggingface.co/timm/eva02_large_patch14_448.mim_m38m_ft_in22k_in1k) |
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### Model Sources [optional] |
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<!-- Provide the basic links for the model. --> |
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- **Paper [optional]:** [More Information Needed] |
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## Uses |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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### Direct Use |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
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Identification of pinned *Cicindela* specimens. |
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### Out-of-Scope Use |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
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This model will fail to make predictions on species not present in the FMNH collection. It is also unlikely to perform well for specimens that are note pinned. |
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## Bias, Risks, and Limitations |
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<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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The model is only expected to perform well for images of pinned tiger beetles. |
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## Training Details |
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### Training Data |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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Data generated by Elizabeth Postema using DrawerDissect on Field Museum specimens, see the publication for details. |
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### Training Procedure |
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
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#### Preprocessing [optional] |
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[More Information Needed] |
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#### Training Hyperparameters |
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- **Training regime:** fp16 mixed precision |
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## Evaluation |
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<!-- This section describes the evaluation protocols and provides the results. --> |
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### Testing Data, Factors & Metrics |
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#### Testing Data |
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A subset of the specimens was held as a test set. See publication for details |
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#### Metrics |
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Metrics in the test set: |
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Dataset Overview: |
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- Total taxa analyzed: 193 |
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- Species: 115 (59.6%) |
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- Subspecies: 78 (40.4%) |
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Performance Summary: |
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Species: |
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- Specimen-weighted precision: 96.8% |
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- Specimen-weighted recall: 80.9% |
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- Specimen-weighted precision: 97.0% |
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- Specimen-weighted recall: 96.4% |
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Subspecies: |
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- Specimen-weighted precision: 89.0% |
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- Specimen-weighted recall: 66.5% |
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- Specimen-weighted precision: 85.0% |
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- Specimen-weighted recall: 89.0% |
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## Citation |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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[More Information Needed] |
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## Model Card Authors |
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Bruno de Medeiros, Negaunee Assistant Curator of Pollinating Insects, Field Museum |
