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Thank you for your question! The percentage values in the image labeling feature are called "confidence scores" and are calculated based on how certain the model (from the Google Cloud Vision API) is that it guessed the object in the image correctly. The confidence score ranges from 0 (no confidence) to 1 (very high confidence).
Can you explain to me a little bit how the percentage values in image labeling are calculated. What does it mean for example when a percentage value is given for waist, sleeve, head etc? Thank you so much!