IoU

Table of contents

analyze_intersection_over_union()
analyze_intersection_over_union_for_category()

analyze_intersection_over_union()

It provides a per-category analysis of the model performances at different Intersection Over Union (IoU) thresholds.

Parameters

categories: list, optional; List of categories to be included in the analysis. If not specified, all the categories are included.
(default is None)
metric: Metrics, optional; Evaluation metric used for the analysis. If not specified, the default one is used.
(default is None)
show: bool, optional; Indicates whether the plot should be shown or not. If False, returns the results as dict.
(default is True)

Example

Localization

from odin.classes import AnalyzerLocalization

my_analyzer = AnalyzerLocalization("my_detector_name", my_localization_dataset)
my_analyzer.analyze_intersection_over_union()

analyze_iou_output

Tasks supported

Binary Classification	Single-label Classification	Multi-label Classification	Object Detection	Instance Segmentation
no	no	no	yes	yes

analyze_intersection_over_union_for_category()

It provides a per-category analysis of the model performances at different Intersection Over Union (IoU) thresholds.

Parameters

category: str; Name of the category to be analyzed.
metric: Metrics, optional; Evaluation metric used for the analysis. If not specified, the default one is used.
(default is None)
show: bool, optional; Indicates whether the plot should be shown or not. If False, returns the results as dict.
(default is True)

Example

Localization

from odin.classes import AnalyzerLocalization

my_analyzer = AnalyzerLocalization("my_detector_name", my_localization_dataset)
my_analyzer.analyze_intersection_over_union_for_category('catA')

analyze_iou_cat_output

Tasks supported

Binary Classification	Single-label Classification	Multi-label Classification	Object Detection	Instance Segmentation
no	no	no	yes	yes