Output interpretation
An explanation and interpretation of every feature outputted in the API response.
Feature | Example | Explanation |
---|---|---|
Image_Class | indoor | The basic class of the image, which will define the further categorization. |
ConfidencePercent_Image_Class | 99.2 | How much confident (in %) the model is that the image belongs to the predicted image class |
Room_Class | other_room | The room identified in the image, if the image is indoors. If the class is 'other_room', a further categorization takes place. |
ConfidencePercent_Room_Class | 96.1 | How much confident (in %) the model is that the image belongs to the predicted room class |
Room_Subclass | hall_corridor | The further categorization applied to the image, to find the room subclass, if the main room class is 'other_room'. |
ConfidencePercent_Room_Subclass | 82.16 | How much confident (in %) the model is that the image belongs to the predicted room subclass |
Scene_Class1 | facade | The first major scene class identified into the image, describing the outdoor scene of the house. |
ConfidencePercent_Scene_Class1 | 70.5 | How much confident (in %) the model is that the image belongs to the predicted scene class |
Scene_Class2 | balcony-garden | The second major scene class identified into the image, describing the outdoor scene of the house. It is identified, if the confidence for the 1st scene class falls under 70% |
ConfidencePercent_Scene_Class2 | 75.2 | How much confident (in %) the model is that the image belongs also to a second scene class |
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