README.md

---
license: mit
datasets:
- imageomics/KABR-original-data
language:
- en
tags:
- biology
- CV
- images
- animals
- zebra
- giraffe
- behavior
---

# Model Card for X3D-KABR-Kinetics
X3D-KABR-Kinetics is a behavior recognition 

## Model Details

### Model Description

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- **Fine-tuned from model:** [More Information Needed]

### Model Sources

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## Uses

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### Direct Use

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### Downstream Use

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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### Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

Use the code below to get started with the model.

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## Training Details

### Training Data

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### Training Procedure 

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#### Preprocessing

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#### Training Hyperparameters

- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

#### Speeds, Sizes, Times 

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## Evaluation

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### Testing Data, Factors & Metrics

#### Testing Data

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Provide a basic overview of the test data and documentation related to any data pre-processing or additional filtering. -->

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#### Factors

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#### Metrics

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### Results

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#### Summary

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## Model Examination

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## Environmental Impact

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Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->

Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://doi.org/10.48550/arXiv.1910.09700).

- **Hardware Type:** [More Information Needed]
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## Technical Specifications 
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### Model Architecture and Objective

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### Compute Infrastructure

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#### Hardware

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#### Software

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## Citation

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See notes at top of file about selecting a license. 
If you choose CC0: This model is dedicated to the public domain for the benefit of scientific pursuits. We ask that you cite the model and journal paper using the below citations if you make use of it in your research.

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**BibTeX:**

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Replace "<>"s with your info:

If you use our model in your work, please cite the model and associated paper.

**Model**
```
@software{<ref_code>,
  author = {<author1 and author2>},
  doi = {<doi once generated>},
  title = {<title>},
  version = {<version#>},
  year = {<year>},
  url = {https://huggingface.co/imageomics/<model_name>}
}
```

-for an associated paper:
**Paper**
```
@article{<ref_code>,
  title    = {<title>},
  author   = {<author1 and author2>},
  journal  = {<journal_name>},
  year     =  <year>,
  url      = {<DOI_URL>},
  doi      = {<DOI>}
}
```
-->


## Acknowledgements

This work was supported by the [Imageomics Institute](https://imageomics.org), which is funded by the US National Science Foundation's Harnessing the Data Revolution (HDR) program under [Award #2118240](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118240) (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

## Glossary 

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## More Information 

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## Model Card Authors

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## Model Card Contact

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