Update README.md

README.md

@@ -29,7 +29,9 @@ TBA
 
 <!-- Provide a longer summary of what this model is. -->
 
-TBA
+These model weights are meant for detecting marine vessels from RGB Sentinel-2 imagery. 
+
+The models are trained and validated on human-annotated marine vessel data. These annotations, information of which Sentinel-2 product they correspond to, and instructions on how to convert them into COCO or YOLO format datasets will be made available as GeoPackage files on Zenodo portal in the near future.
 
 - **Developed by:** Janne Mäyrä
 - **Model type:** Object Detection
@@ -62,7 +64,7 @@ These models are not suitable for other purposes than for detecting potential ma
 
 <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
 
-The models are most accurate on more closed waters instead of open sea. Especially during windy conditions the models incorrectly detect a large number of wakes and glint as marine vessels.
+The models are most accurate on more closed water areas such as denser archipelagos and close to the coast instead of open sea. Especially during windy conditions the models incorrectly detect a large number of wakes and glint as marine vessels.
 
 ## How to Get Started with the Model
 
@@ -90,7 +92,6 @@ Training and validation data:
 |Bothnian Bay|2022-07-12|162|98|71|
 |Bothnian Bay|2022-08-28|98|68|101|
 
-
 #### Training Hyperparameters
 
 Training configs can be found from each model directory, in the file `args.yaml`.