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@@ -22,15 +22,17 @@ We trained a series of [YOLOv5](https://github.com/ultralytics/yolov5) and [YOLO
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 - YOLO models are fast, providing reasonable inference speed even with CPU.
 - Ability to predict and automatically count nuclei on stacks of images, making it convenient for cell population growth studies and individual cell tracking.
 
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 - Calibration algorithm that allows measuring accuracy for each specific use case.
 
@@ -40,8 +42,8 @@ Result of object detection model inference is highly dependent on _confidence th
 
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