Distributions
Table of contents
show_co_occurrence_matrix()
It provides the co-occurrence matrix of the categories.
Parameters
- show
bool, optional- Indicates whether the plot should be shown or not. If False, returns the matrix.
(default is True)
Example
Classification
from odin.classes import DatasetClassification
my_dataset = DatasetClassification(dataset_gt_param, classification_type)
my_dataset.show_co_occurrence_matrix()
Localization
from odin.classes import DatasetLocalization
my_dataset = DatasetLocalization(dataset_gt_param, localization_type)
my_dataset.show_co_occurrence_matrix()
Tasks supported
| Binary Classification | Single-label Classification | Multi-label Classification | Object Detection | Instance Segmentation |
|---|---|---|---|---|
| no | no | yes | yes | yes |
show_distribution_of_property()
It provides the distribution of the different values of a property and for each value shows the distribution of the categories.
Parameters
- property_name
str- Name of the property to be analyzed.
- property_values
list, optional- List of categories to be included in the analysis. If not specified, all the categories are included.
(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
Classification
from odin.classes import DatasetClassification
my_dataset = DatasetClassification(dataset_gt_param, classification_type)
my_dataset.show_distribution_of_property('prop1')
Localization
from odin.classes import DatasetLocalization
my_dataset = DatasetLocalization(dataset_gt_param, localization_type)
my_dataset.show_distribution_of_property('prop1')
Tasks supported
| Binary Classification | Single-label Classification | Multi-label Classification | Object Detection | Instance Segmentation |
|---|---|---|---|---|
| yes | yes | yes | yes | yes |
show_distribution_of_properties()
For each property, it provides the distribution of its different values and for each value shows the distribution of the categories.
Parameters
- properties
list, optional- List of properties to be included in the analysis. If not specified, all the properties are included.
(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
Classification
from odin.classes import DatasetClassification
my_dataset = DatasetClassification(dataset_gt_param, classification_type)
my_dataset.show_distribution_of_properties()
Localization
from odin.classes import DatasetLocalization
my_dataset = DatasetLocalization(dataset_gt_param, localization_type)
my_dataset.show_distribution_of_properties()
Tasks supported
| Binary Classification | Single-label Classification | Multi-label Classification | Object Detection | Instance Segmentation |
|---|---|---|---|---|
| yes | yes | yes | yes | yes |
show_distribution_of_property_for_category()
It provides the distribution of a property for a specific category.
Parameters
- property_name
str- Name of the property to be analyzed.
- category
str- Name of the category to be analyzed.
- property_values
list, optional- List of categories to be included in the analysis. If not specified, all the categories are included.
(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
Classification
from odin.classes import DatasetClassification
my_dataset = DatasetClassification(dataset_gt_param, classification_type)
my_dataset.show_distribution_of_property_for_category('prop1', 'catA')
Localization
from odin.classes import DatasetLocalization
my_dataset = DatasetLocalization(dataset_gt_param, localization_type)
my_dataset.show_distribution_of_property_for_category('prop1', 'catA')
Tasks supported
| Binary Classification | Single-label Classification | Multi-label Classification | Object Detection | Instance Segmentation |
|---|---|---|---|---|
| yes | yes | yes | yes | yes |
show_distribution_of_property_for_categories()
For each category, it provides the distribution of a property.
Parameters
- property_name
str- Name of the property to be analyzed.
- property_values
list, optional- List of categories to be included in the analysis. If not specified, all the categories are included.
(default is None) - categories
list, optional- List of categories to be included in the analysis. If not specified, all the categories are included.
(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
Classification
from odin.classes import DatasetClassification
my_dataset = DatasetClassification(dataset_gt_param, classification_type)
my_dataset.show_distribution_of_property_for_categories('prop1')
Localization
from odin.classes import DatasetLocalization
my_dataset = DatasetLocalization(dataset_gt_param, localization_type)
my_dataset.show_distribution_of_property_for_categories('prop1')
Tasks supported
| Binary Classification | Single-label Classification | Multi-label Classification | Object Detection | Instance Segmentation |
|---|---|---|---|---|
| yes | yes | yes | yes | yes |
show_distribution_of_categories()
It provides the distribution of the categories in the data set.
Parameters
- show_avg_size
bool, optional- Indicates whether to calculate the average size of the area of the annotations. It is supported only for localization tasks.
(default is True) - show
bool, optional- Indicates whether the plot should be shown or not. If False, returns the results as dict.
(default is True)
Example
Classification
from odin.classes import DatasetClassification
my_dataset = DatasetClassification(dataset_gt_param, classification_type)
my_dataset.show_distribution_of_categories()
Localization
from odin.classes import DatasetLocalization
my_dataset = DatasetLocalization(dataset_gt_param, localization_type)
my_dataset.show_distribution_of_categories()
Tasks supported
| Binary Classification | Single-label Classification | Multi-label Classification | Object Detection | Instance Segmentation |
|---|---|---|---|---|
| yes | yes | yes | yes | yes |