|
--- |
|
license: cc-by-4.0 |
|
tags: |
|
- ocean |
|
- midwater |
|
- benthic |
|
- object-detection |
|
--- |
|
|
|
# MBARI Monterey Bay 315k YOLOv5 |
|
|
|
<!-- TODO: Fill out the model card |
|
## Model Details |
|
- Trained by researchers at [CVisionAI](https://www.cvisionai.com/) and the [Monterey Bay Aquarium Research Institute](https://www.mbari.org/) (MBARI). |
|
- [YOLOv5v6.2](https://github.com/ultralytics/yolov5/tree/v6.2) |
|
- Object detection |
|
- Fine tuned yolov5l to detect 22 morhpotaxonmic categories of midwater animals in the Greater Monterey Bay Area off the coast of Central California. |
|
|
|
## Intended Use |
|
- Make real time detections on video feed from MBARI Remotely Operated Vehicles. |
|
- Post-process video collected in the region by MBARI vehicles. |
|
|
|
## Factors |
|
- Distribution shifts related to sampling platform, camera parameters, illumination, and deployment environment are expected to impact model performance. |
|
- Evaluation was performed on an IID subset of available training data. Data to test out of distribution performance not currently available. |
|
|
|
## Metrics |
|
- [Precision-Recall curve](https://huggingface.co/FathomNet/MBARI-midwater-supercategory-detector/blob/main/plots/PR_curve.png) and [per class accuracy]((https://huggingface.co/FathomNet/MBARI-midwater-supercategory-detector/blob/main/plots/confusion_matrix.png)) were evaluated at test time. |
|
- mAP@0.5 = 0.866 |
|
- Indicates reasonably good performance for target task. |
|
|
|
## Training and Evaluation Data |
|
- A combination of publicly available [FathomNet](https://fathomnet.org/fathomnet/#/) and internal MBARI data |
|
- Class labels have a [long tail and localizations occur throughout the frame](https://huggingface.co/FathomNet/MBARI-midwater-supercategory-detector/blob/main/plots/labels.jpg). |
|
|
|
## Deployment |
|
In an environment running [YOLOv5v6.2](https://github.com/ultralytics/yolov5/tree/v6.2): |
|
|
|
``` |
|
python classify/predict.py --weights best.pt --data data/images/ |
|
``` |
|
--> |
