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---
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 |