Update README.md

README.md

@@ -10,4 +10,57 @@ pipeline_tag: object-detection
 tags:
 - biology
 - climate
----
+---
+# Model Card for Model ID
+
+This model is designed for object detection in marine environments, specifically targeting benthic megafauna in ROV transects.
+
+## Model Details
+
+### Training Data
+
+The model is trained on the OceanCV/EcotypeTransect dataset, which contains annotated images of marine fauna and geological features from various methane seep and hydrothermal vent sites along the West Coast.
+
+### Training Procedure
+
+Preprocessing
+
+Images were resized to 1024x1024 pixels
+
+Data augmentation techniques included random flipping, rotation, and contrast adjustments
+
+Training Hyperparameters
+
+Training regime: Mixed precision (fp16)
+Epochs: 200
+Batch size: Auto (-1)
+Optimizer: Auto
+Learning rate: 0.01
+Momentum: 0.937
+Weight decay: 0.0005
+
+
+Model size: 450 MB
+
+### Evaluation
+
+Testing Data, Factors & Metrics
+
+Testing Data
+
+The testing dataset consists of near methane seep imagery from a singular 38 ROV surveys conducted in the Northeast Pacific.
+
+### Metrics
+
+mAP50: 78.0%
+mAP50-95: 56.7%
+Precision: 72.7%
+Recall: 75.1%
+
+- **Developed by:** Atticus Carter
+
+- **Model type:** YOLOV11
+
+- **License:** MIT
+
+- **Finetuned from model:** FathomNet/MBARI-315k-yolov8