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@@ -3,7 +3,7 @@ library_name: transformers
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  tags: []
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  ---
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- ## Model Details
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  ### Model Description
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@@ -23,7 +23,7 @@ MiewID-msv2 is a feature extractor pretrained re-identification task on a large,
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  - **Repository:** https://github.com/WildMeOrg/wbia-plugin-miew-id
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  - **Backbone:** https://huggingface.co/timm/efficientnetv2_rw_m.agc_in1k
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- ## Usage
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  Intended use is re-identification of individuals from different species by matching against a database of grount-truth samples. Model features can also be used for species classification by retrieval.
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@@ -65,7 +65,7 @@ print(output.shape )
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  View more usage examples at https://github.com/WildMeOrg/wbia-plugin-miew-id/tree/main/wbia_miew_id/datasets
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- ## Training Details
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  ### Training Data
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  ![image/jpg](https://cthulhu.dyn.wildme.io/public/datasets/msv2_dataset_example.jpg)
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- ## Evaluation Results
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  The multi-species model shows improvements over models trained on single species. Moreover the model shows strong generalization ability for majority of the species when trained and evaluated in a leave-one-out fashion.
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  tags: []
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  ---
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+ # Model Details
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  ### Model Description
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  - **Repository:** https://github.com/WildMeOrg/wbia-plugin-miew-id
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  - **Backbone:** https://huggingface.co/timm/efficientnetv2_rw_m.agc_in1k
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+ # Usage
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  Intended use is re-identification of individuals from different species by matching against a database of grount-truth samples. Model features can also be used for species classification by retrieval.
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  View more usage examples at https://github.com/WildMeOrg/wbia-plugin-miew-id/tree/main/wbia_miew_id/datasets
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+ # Training Details
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  ### Training Data
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  ![image/jpg](https://cthulhu.dyn.wildme.io/public/datasets/msv2_dataset_example.jpg)
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+ # Evaluation Results
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  The multi-species model shows improvements over models trained on single species. Moreover the model shows strong generalization ability for majority of the species when trained and evaluated in a leave-one-out fashion.
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