---
language: en
license: cc-by-nc-4.0
---

# Model Card for yolo5_beachbot_160

<!-- Provide a quick summary of what the model is/does. -->



## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->

A finetune of Yolo5 intended for identifying beach trash.

- **Developed by:** Jeffrey Queisser, Christopher Buckley
- **Funded by:** Okinawa Institute of Science and Technology COI Next Grant
- **Model type:** Yolo5
- **License:** CC BY-NC 4.0
- **Finetuned from model:** Yolo5

### Model Sources

<!-- Provide the basic links for the model. -->

- **Repository:** https://github.com/okinawa-ai-beach-robot/yolo5_beachbot_160
- **Demo:** [Work in Progress]

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->


        Note the dataset is small and test set can have quite similar images to the train set. 
        This was an early version of the dataset so results are not reliable
        

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->


        Use later version of the dataset
        

## How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

## Training Details

### Training Data

<!-- 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. -->

https://universe.roboflow.com/okinawaaibeachrobot/beach-cleaning-object-detection/dataset/1

### Training Procedure

<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->

#### Preprocessing


        {'preprocessing': {'auto-orient': True, 'resize': {'width': 1280, 'height': 800, 'format': 'Fill (with center crop) in'}}}
        See https://docs.roboflow.com/api-reference/versions/create-a-project-version for more information
        


#### Training Hyperparameters

- **Training regime:** 
        TODO populate with any hyperparameters
         <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

## Evaluation

<!-- This section describes the evaluation protocols and provides the results. -->

### Testing Data, Factors & Metrics

#### Testing Data

<!-- This should link to a Dataset Card if possible. -->

https://universe.roboflow.com/okinawaaibeachrobot/beach-cleaning-object-detection/dataset/1/images?split=test

#### Metrics

<!-- These are the evaluation metrics being used, ideally with a description of why. -->


        TODO populate with any metrics
        e.g. loss function
        

### Results


        TODO populate with any results
        

## Technical Specifications

## Model Card Authors

Christopher Buckley

## Model Card Contact

https://github.com/okinawa-ai-beach-robot/home/discussions