public override List<YoloLabel> Labels { get; set; } = new List<YoloLabel>()
{
    new YoloLabel { Id = 1, Name = "person" },
    new YoloLabel { Id = 2, Name = "bicycle" },
    new YoloLabel { Id = 3, Name = "car" },
    new YoloLabel { Id = 4, Name = "motorcycle" },
    new YoloLabel { Id = 5, Name = "airplane" },
    new YoloLabel { Id = 6, Name = "bus" },
    new YoloLabel { Id = 7, Name = "train" },
    new YoloLabel { Id = 8, Name = "truck" },
    new YoloLabel { Id = 9, Name = "boat" },
    new YoloLabel { Id = 10, Name = "traffic light" },
    new YoloLabel { Id = 11, Name = "fire hydrant" },
    new YoloLabel { Id = 12, Name = "stop sign" },
    new YoloLabel { Id = 13, Name = "parking meter" },
    new YoloLabel { Id = 14, Name = "bench" },
    new YoloLabel { Id = 15, Name = "bird" },
    new YoloLabel { Id = 16, Name = "cat" },
    new YoloLabel { Id = 17, Name = "dog" },
    new YoloLabel { Id = 18, Name = "horse" },
    new YoloLabel { Id = 19, Name = "sheep" },
    new YoloLabel { Id = 20, Name = "cow" },
    new YoloLabel { Id = 21, Name = "elephant" },
    new YoloLabel { Id = 22, Name = "bear" },
    new YoloLabel { Id = 23, Name = "zebra" },
    new YoloLabel { Id = 24, Name = "giraffe" },
    new YoloLabel { Id = 25, Name = "backpack" },
    new YoloLabel { Id = 26, Name = "umbrella" },
    new YoloLabel { Id = 27, Name = "handbag" },
    new YoloLabel { Id = 28, Name = "tie" },
    new YoloLabel { Id = 29, Name = "suitcase" },
    new YoloLabel { Id = 30, Name = "frisbee" },
    new YoloLabel { Id = 31, Name = "skis" },
    new YoloLabel { Id = 32, Name = "snowboard" },
    new YoloLabel { Id = 33, Name = "sports ball" },
    new YoloLabel { Id = 34, Name = "kite" },
    new YoloLabel { Id = 35, Name = "baseball bat" },
    new YoloLabel { Id = 36, Name = "baseball glove" },
    new YoloLabel { Id = 37, Name = "skateboard" },
    new YoloLabel { Id = 38, Name = "surfboard" },
    new YoloLabel { Id = 39, Name = "tennis racket" },
    new YoloLabel { Id = 40, Name = "bottle" },
    new YoloLabel { Id = 41, Name = "wine glass" },
    new YoloLabel { Id = 42, Name = "cup" },
    new YoloLabel { Id = 43, Name = "fork" },
    new YoloLabel { Id = 44, Name = "knife" },
    new YoloLabel { Id = 45, Name = "spoon" },
    new YoloLabel { Id = 46, Name = "bowl" },
    new YoloLabel { Id = 47, Name = "banana" },
    new YoloLabel { Id = 48, Name = "apple" },
    new YoloLabel { Id = 49, Name = "sandwich" },
    new YoloLabel { Id = 50, Name = "orange" },
    new YoloLabel { Id = 51, Name = "broccoli" },
    new YoloLabel { Id = 52, Name = "carrot" },
    new YoloLabel { Id = 53, Name = "hot dog" },
    new YoloLabel { Id = 54, Name = "pizza" },
    new YoloLabel { Id = 55, Name = "donut" },
    new YoloLabel { Id = 56, Name = "cake" },
    new YoloLabel { Id = 57, Name = "chair" },
    new YoloLabel { Id = 58, Name = "couch" },
    new YoloLabel { Id = 59, Name = "potted plant" },
    new YoloLabel { Id = 60, Name = "bed" },
    new YoloLabel { Id = 61, Name = "dining table" },
    new YoloLabel { Id = 62, Name = "toilet" },
    new YoloLabel { Id = 63, Name = "tv" },
    new YoloLabel { Id = 64, Name = "laptop" },
    new YoloLabel { Id = 65, Name = "mouse" },
    new YoloLabel { Id = 66, Name = "remote" },
    new YoloLabel { Id = 67, Name = "keyboard" },
    new YoloLabel { Id = 68, Name = "cell phone" },
    new YoloLabel { Id = 69, Name = "microwave" },
    new YoloLabel { Id = 70, Name = "oven" },
    new YoloLabel { Id = 71, Name = "toaster" },
    new YoloLabel { Id = 72, Name = "sink" },
    new YoloLabel { Id = 73, Name = "refrigerator" },
    new YoloLabel { Id = 74, Name = "book" },
    new YoloLabel { Id = 75, Name = "clock" },
    new YoloLabel { Id = 76, Name = "vase" },
    new YoloLabel { Id = 77, Name = "scissors" },
    new YoloLabel { Id = 78, Name = "teddy bear" },
    new YoloLabel { Id = 79, Name = "hair drier" },
    new YoloLabel { Id = 80, Name = "toothbrush" }
};

"Application": {
  "DeviceID": "",
  "ImageTimerDue": "0.00:00:15",
  "ImageTimerPeriod": "0.00:00:30",

  "ImageCameraFilepath": "ImageCamera.jpg",
  "ImageMarkedUpFilepath": "ImageMarkedup.jpg",

  "YoloV5ModelPath": "YoloV5/yolov5s.onnx",

  "PredictionScoreThreshold": 0.7,
  "PredictionLabelsOfInterest": [
    "bicycle",
    "person"
  ],
  "PredictionLabelsMinimum": [
    "bicycle",
    "car",
    "person"
  ]
}

private async void ImageUpdateTimerCallback(object state)
{
	DateTime requestAtUtc = DateTime.UtcNow;

	// Just incase - stop code being called while photo already in progress
	if (_cameraBusy)
	{
		return;
	}
	_cameraBusy = true;

	_logger.LogInformation("Image processing start");

	try
	{
#if CAMERA_RASPBERRY_PI
		RaspberryPIImageCapture();
#endif
#if CAMERA_SECURITY
		SecurityCameraImageCapture();
#endif
		List<YoloPrediction> predictions;

		using (Image image = Image.FromFile(_applicationSettings.ImageCameraFilepath))
		{
			_logger.LogTrace("Prediction start");
			predictions = _scorer.Predict(image);
			_logger.LogTrace("Prediction done");

			OutputImageMarkup(image, predictions, _applicationSettings.ImageMarkedUpFilepath);
		}

		if (_logger.IsEnabled(LogLevel.Trace))
		{
			_logger.LogTrace("Predictions {0}", predictions.Select(p => new { p.Label.Name, p.Score }));
		}

		var predictionsValid = predictions.Where(p => p.Score >= _applicationSettings.PredictionScoreThreshold).Select(p => p.Label.Name);

		// Count up the number of each class detected in the image
		var predictionsTally = predictionsValid.GroupBy(p => p)
				.Select(p => new
				{
					Label = p.Key,
					Count = p.Count()
				});

		if (_logger.IsEnabled(LogLevel.Information))
		{
			_logger.LogInformation("Predictions tally before {0}", predictionsTally.ToList());
		}

		// Add in any missing counts the cloudy side is expecting
		if (_applicationSettings.PredictionLabelsMinimum != null)
		{
			foreach( String label in _applicationSettings.PredictionLabelsMinimum)
			{
				if (!predictionsTally.Any(c=>c.Label == label ))
				{
					predictionsTally = predictionsTally.Append(new {Label = label, Count = 0 });
				}
			}
		}

		if (_logger.IsEnabled(LogLevel.Information))
		{
			_logger.LogInformation("Predictions tally after {0}", predictionsTally.ToList());
		}

		if ((_applicationSettings.PredictionLabelsOfInterest == null) || (predictionsValid.Select(c => c).Intersect(_applicationSettings.PredictionLabelsOfInterest, StringComparer.OrdinalIgnoreCase).Any()))
		{
			JObject telemetryDataPoint = new JObject();

			foreach (var predictionTally in predictionsTally)
			{
				telemetryDataPoint.Add(predictionTally.Label, predictionTally.Count);
			}

			using (Message message = new Message(Encoding.ASCII.GetBytes(JsonConvert.SerializeObject(telemetryDataPoint))))
			{
				message.Properties.Add("iothub-creation-time-utc", requestAtUtc.ToString("s", CultureInfo.InvariantCulture));

				await _deviceClient.SendEventAsync(message);
			}
		}
	}
	catch (Exception ex)
	{
		_logger.LogError(ex, "Camera image download, post processing, or telemetry failed");
	}
	finally
	{
		_cameraBusy = false;
	}

	TimeSpan duration = DateTime.UtcNow - requestAtUtc;

	_logger.LogInformation("Image processing done {0:f2} sec", duration.TotalSeconds);
}