MBARI
Collection
Models trained by the Monterey Bay Aquarium Research Institute, including data from FathomNet and the MBARI Video Annotation and Reference System.
•
9 items
•
Updated
MBARI Midwater Object Detector
Model Details
- Trained by researchers at CVisionAI and the Monterey Bay Aquarium Research Institute (MBARI).
- RetinaNet with ResNet-50 backbone
- Object detection
- Fine tuned RetinaNet to detect 16 taxonomic 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
- Confusion matrix evaluated at test time.
Training and Evaluation Data
- A combination of publicly available FathomNet and internal MBARI data
- Downloads last month
- 3