A PNG image where each pixel in the mask represents the category in which
the pixel in the original image was predicted to belong to. The size of
this image will be the same as the original image. The mapping between the
AnntoationSpec and the color can be found in model's metadata. The model
will choose the most likely category and if none of the categories reach
the confidence threshold, the pixel will be marked as background.
A PNG image where each pixel in the mask represents the category in which
the pixel in the original image was predicted to belong to. The size of
this image will be the same as the original image. The mapping between the
AnntoationSpec and the color can be found in model's metadata. The model
will choose the most likely category and if none of the categories reach
the confidence threshold, the pixel will be marked as background.
A one channel image which is encoded as an 8bit lossless PNG. The size of
the image will be the same as the original image. For a specific pixel,
darker color means less confidence in correctness of the cateogry in the
categoryMask for the corresponding pixel. Black means no confidence and
white means complete confidence.
A one channel image which is encoded as an 8bit lossless PNG. The size of
the image will be the same as the original image. For a specific pixel,
darker color means less confidence in correctness of the cateogry in the
categoryMask for the corresponding pixel. Black means no confidence and
white means complete confidence.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-01-27 UTC."],[],[]]