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metadata
license: apache-2.0
base_model:
  - timm/eva02_large_patch14_448.mim_m38m_ft_in22k_in1k
library_name: fastai
tags:
  - Coleoptera
  - Taxonomy
  - Biology
  - Cicindelidae

Model Card for Model ID

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.

Model Details

This model is based on the pre-trained eva02_large_patch14_448 from the timm library.

The training included several tricks to allow multilabel training with an imbalanced dataset, see the publication for details.

Model Description

  • Developed by: Bruno A. S. de Medeiros, Negaunee Assistant Curator of Pollinating Insects, Field Museum.
  • Model type: Image classification
  • License: Apache 2.0
  • Finetuned from model [optional]: eva02_large_patch14_448

Model Sources [optional]

  • Paper [optional]: [More Information Needed]

Uses

Direct Use

Identification of pinned Cicindela specimens.

Out-of-Scope Use

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.

Bias, Risks, and Limitations

The model is only expected to perform well for images of pinned tiger beetles.

Training Details

Training Data

Data generated by Elizabeth Postema using DrawerDissect on Field Museum specimens, see the publication for details.

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

  • Training regime: fp16 mixed precision

Evaluation

Testing Data, Factors & Metrics

Testing Data

A subset of the specimens was held as a test set. See publication for details

Metrics

Metrics in the test set:

Dataset Overview:

  • Total taxa analyzed: 193
  • Species: 115 (59.6%)
  • Subspecies: 78 (40.4%)

Performance Summary:

Species:

  • Specimen-weighted precision: 96.8%
  • Specimen-weighted recall: 80.9%
  • Specimen-weighted precision: 97.0%
  • Specimen-weighted recall: 96.4%

Subspecies:

  • Specimen-weighted precision: 89.0%
  • Specimen-weighted recall: 66.5%
  • Specimen-weighted precision: 85.0%
  • Specimen-weighted recall: 89.0%

Citation

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Model Card Authors

Bruno de Medeiros, Negaunee Assistant Curator of Pollinating Insects, Field Museum