Metrics
In the results dashboard, we expose many different metrics about each object. Depending on your pipeline configuration, you may see a subset of the following metrics. Next to each one, we provide a brief explanation about what each of these values mean.
  • X Position - Pixel X position of the centroid of the object (left to right). This is in absolute pixels of the entire image.
  • Y Position - Pixel Y position of the centroid of the object (top to bottom). This is in absolute pixels of the entire image.
  • Area - Number of pixels that the object covers.
  • Perimeter - Count of pixels over the outer boundary of the object.
  • Image origin - Filename of the image the object originated from.
  • Average Intensity (channel N) - Average intensity in channel N over the object area. If there are N channels in the image, there will be N channel features.
  • Solidity - A measurement of the overall concavity of an object. Ratio of pixels in the region to pixels of the convex hull image.
  • Eccentricity - A measure of how elliptical an object is. A perfect circle has an eccentricity of 0.
  • Major axis - The length of the major axis of the ellipse that has the same normalized second central moments as the region. This is generally a good proxy for the longest width of the object.
  • Minor axis - The length of the minor axis of the ellipse that has the same normalized second central moments as the region. This is generally a good proxy for the shortest width of the object.
  • Curved length - A good metric for the length of a long curved object (like lung cells, worms, etc). Obtained using the binary skeletonization of the mask, this is not a good fit for mostly circular objects.
  • Model score - The score, generally from 0 to 1, that the AI model computed for this object. This is often referred to as the confidence score.
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