Update README.md

README.md

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 ## Model Details
 This model was trained using YOLOv12 for object detection.
 
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 ## Dataset
 This dataset is a series of frames pulled from ROV video during the Pythia’s Oasis research cruise in 2019. Although multiple dives occurred in this location, this dataset only includes imagery from the first dive, J2-1225. The original dive footage was edited down to about an hour and a half, excluding the ascent and descent, as well as removing video with the ROV arm or other machinery. In total, 1,110 images were extracted from the edited footage. Initial annotation predictions were made by Fathomnet, and classes were then cleaned manually. The classes include a variety of anemones, fishes, crabs, corals, sea stars, jellies, and sea cucumbers. Clams and snails, while present, were excluded due to time constraints during annotation.
 
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 **Original Video Resolution:** 1080p 
 
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 **Exported/Edited Video Resolution:** 1920 x 1088
 
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 **Preprocesssing:** Auto-orient, resize to 1024 x 1024
 
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 **Augmentations:** Shear (+10 degrees horizontal, +10 degrees vertical), Brightness (between -10% and 10%), and Blur (up to 2.5px)
 
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 **Dataset size after Augmentations:** 2998
 
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 | Class Name             | Number of Annotations |
 | ---------------------- | --------------------- |  
 | Actiniaria             | 1865                  |