grade.rate_distinctiveness
grade.rate_distinctiveness(features, match_threshold=0.6)Grade images by their distinctiveness.
Compute the embedding recognizability score (ERS) for each image in the feature array.
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
| features | np.ndarray | NumPy array of shape (image_count, feature_count) containing feature vectors for each image | required |
| match_threshold | float | The threshold above which two images are considered a match. Must be between (0, 1) | 0.6 |
Returns
| Name | Type | Description |
|---|---|---|
| np.array | Embedding recognizability score (ERS), a measure of distinctiveness, for every image in the dataset. |