Custom Model Metrics
The following metrics are provided for custom models in Vision.
- mAP@0.5 score
- The mean Average Precision (mAP) score with a threshold of 0.5 is provided only for custom object detection models. calculated by taking the mean Average Precision over all classes. It ranges from 0.0 to 1.0 where 1.0 is the best result.
- Precision
- The fraction of relevant instances among the retrieved instances.
- Recall
- The fraction of relevant instances that were retrieved.
- Threshold
- The decision threshold to make a class prediction for the metrics.
- Total images
- The total number of images used for training and testing.
- Test images
- The number of images from the dataset that were used for testing and not used for training.
- Training duration
- The length of time in hours that the model was trained.