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Removed duplicate statement for class loss description #789

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Feb 11, 2023
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Removed duplicate statement for class loss description #789

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1 change: 0 additions & 1 deletion imageai/Detection/Custom/CUSTOMDETECTIONTRAINING.md
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Expand Up @@ -173,7 +173,6 @@ Validation:
- The bounding box loss `box loss` is reported and expected to drop as the training progresses
- The object localization loss `object loss` is reported and expected to drop as the training progresses
- The class loss `class loss` is reported and expected to drop as the training progresses. If the class loss persists at 0.0000, it's because your dataset has a single class.
- The class loss `class loss` is reported and expected to drop as the training progresses. If the class loss persists at 0.0000, it's because your dataset has a single class.
- The `mAP50` and `mAP0.5-0.95` metrics are expected to increase. This signifies the models accuracy increases. There might be flunctuations in these metrics sometimes.
- For each increase in the `mAP50` after an experiment, a model is saved in the **hololens-yolo/models** folder. The higher the mAP50, the better the model.

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