I've create a custom vision project to recognise characters (A, B, C...). What is interesting: if I upload an image of a character (in this case an "N") to the vision API portal it will tell me that it is 99.9% sure it is an "N":
If however I use the client libraries to predict the very same image, I'm getting 53% that it is a "W" and only 37% that it is an "N":
- I double checked that the latest iteration is the published one
- I double checked that I'm using the correct project ID
- My endpoint is set to "https://westeurope.api.cognitive.microsoft.com" in the
CustomVisionPredictionClient
The code to get the prediction on my client:
var client = new CustomVisionPredictionClient()
{
ApiKey = predictionKey,
Endpoint = endpoint
};
var result = await client.PredictImageAsync(Guid.Parse(projectId), imageStream).ConfigureAwait(false);
var prediction = result.Predictions.FirstOrDefault();
Where does this difference come from and how to fix because according to the tests I did by uploading images the results are close to 100% correct no matter which character image I upload?
UPDATE: I noticed that there was an update for the client libraries. They went from 0.12pre to 1.0stable. After the update the PredictImageAsync is gone and replaced with DetectImageAsync. This expected as an additional parameter a model name. I tried using the name of the iteration and after a while the method returns with an internal server error. So not sure what to try next.

