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Pythias_Oasis

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pinnemi commited on Mar 12, 2025

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@@ -37,8 +37,8 @@ This dataset is a series of frames pulled from ROV video during the Pythia’s O
 |Cable                   | 9                     |
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-![Examples of each class from the dataset. Top, from left to right: Actiniaria, Black Coral, Soft Coral, and Translucent Actiniaria. Middle, from left to right: Eelpout, Deep Sea Sole, Hippastera, Chionoecetes tanneri, and Small Anemone. Bottom, from left to right: Hagfish, Ctenophora, Asteroidea, Isosicyonis, Cable, and Scotoplanes.](https://huggingface.co/OceanCV/Pythias_Oasis/resolve/main/class_examples.jpg?download=true)
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 ## Model Performance
 The model currently confuses many classes for the background and misses many classes. This is because of incomplete annotation of all classes, and likely because clams and snails were excluded. Additionally, classes were very unbalanced. Classes with less annotations tended to have either extreme high or low F1 scores, and some classes were not included in the val set (Black Coral). Continued class cleaning and supplementation with additional imagery should improve this model in later versions. Despite these issues with the current  model, the F1 score is fairly good on average. Rockfish, Actiniaria, and Scotoplanes performed well in terms of having a high F1 score across a large confidence range, and the number of annotations was high for these classes, so this is more likely to reflect accuracy in the model predictions.

 |Cable                   | 9                     |
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+![image/jpg](https://huggingface.co/OceanCV/Pythias_Oasis/resolve/main/class_examples.jpg?download=true)
+Examples of each class from the dataset. Top, from left to right: Actiniaria, Black Coral, Soft Coral, and Translucent Actiniaria. Middle, from left to right: Eelpout, Deep Sea Sole, Hippastera, Chionoecetes tanneri, and Small Anemone. Bottom, from left to right: Hagfish, Ctenophora, Asteroidea, Isosicyonis, Cable, and Scotoplanes.
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 ## Model Performance
 The model currently confuses many classes for the background and misses many classes. This is because of incomplete annotation of all classes, and likely because clams and snails were excluded. Additionally, classes were very unbalanced. Classes with less annotations tended to have either extreme high or low F1 scores, and some classes were not included in the val set (Black Coral). Continued class cleaning and supplementation with additional imagery should improve this model in later versions. Despite these issues with the current  model, the F1 score is fairly good on average. Rockfish, Actiniaria, and Scotoplanes performed well in terms of having a high F1 score across a large confidence range, and the number of annotations was high for these classes, so this is more likely to reflect accuracy in the model predictions.