Update README.md

README.md

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 - Evaluation was performed on an IID subset of available training data. Data to test out of distribution performance not currently available.
 
 ## Metrics
-- Precision, Recall, and per class accuracy were evaluated at test time. 
+- [Precision-Recall curve](https://huggingface.co/FathomNet/MBARI-midwater-supercategory-detector/blob/main/plots/PR_curve.png) and [per class accuracy]((https://huggingface.co/FathomNet/MBARI-midwater-supercategory-detector/blob/main/plots/confusion_matrix.png)) were evaluated at test time. 
 - mAP@0.5 = 0.866
 - Indicates reasonably good performance for target task.
-![pr image](https://huggingface.co/FathomNet/MBARI-midwater-supercategory-detector/blob/main/plots/PR_curve.png)
-![conf-mat](https://huggingface.co/FathomNet/MBARI-midwater-supercategory-detector/blob/main/plots/confusion_matrix.png)
 
 ## Training and Evaluation Data
 - A combination of publicly available [FathomNet](https://fathomnet.org/fathomnet/#/) and internal MBARI data
-![dataset-info](https://huggingface.co/FathomNet/MBARI-midwater-supercategory-detector/blob/main/plots/labels.jpg)
+- Class labels have a [long tail and localizations occur throughout the frame](https://huggingface.co/FathomNet/MBARI-midwater-supercategory-detector/blob/main/plots/labels.jpg).
 
 ## Deployment
 In an environment running [YOLOv5v6.2](https://github.com/ultralytics/yolov5/tree/v6.2):