ObjectDetection Attributes

Attribute fields specific to ObjectDetection image processing.

Something to Note: For ObjectDetection, the item_type is really the highest scoring object class. Scores are listed in the attribute fields.

Attribute Fields#

The following table is a list of ObjectDetection attributes that users can query on, as well as the type and a brief description of each attribute.

PropertiesTypeDescription
acquisition_dateDatedatetime that the acquisition image referenced by the cat_id field enters the catalog listing; format: strict_date_optional_time epoch_millis
acquisition_id_rawStringThe raw id value of the catalog acquisition image used in processing to generate the vector.
best_Airliner_dblDoubleThe score for Airliner object across all models, derived during the workflow that produced the vector. Note: This is generally identical to the model_Airliner_dbl score.
best_Background-AOI1_dblDoubleThe score for the Background model for the AOI. Note: The 1 is changeable based on the AOI being referenced and the number of AOIs in the project.
best_Fighter_dblDoubleThe score for Fighter object across all models, derived during the workflow that produced the vector. Note: This is generally identical to the model_Fighter_dbl score.
best_Helicopter_dblDoubleThe score for Helicopter object across all models, derived during the workflow that produced the vector. Note: This is generally identical to the model_Helicopter_dbl score.
best_Trees_dblDoubleThe score for Trees object across all models, derived during the workflow that produced the vector. Note: This is generally identical to the model_Trees_dbl score.
best_Urban_dblDoubleThe score for Urban object across all models, derived during the workflow that produced the vector. Note: This is generally identical to the model_Urban_dbl score.
cat_idStringThe id of the catalog acquisition image used in processing to generate the vector.
cat_id_rawStringThe raw id value of the catalog acquisition image used in processing to generate the vector.
item_dateDatedatetime that the acquisition image referenced by the cat_id field enters the catalog listing; format: strict_date_optional_time epoch_millis
modelsStringThe model(s) used in the algorithm that generated the vector.
model_Airliner_dblDoubleThe score for the Airliner model derived during the workflow that produced the vector. Note: This is generally identical to the best_Airliner_dbl score.
model_Background-AOI1_dblDoubleThe score for the Background model for the AOI. Note: The 1 is changeable based on the AOI being referenced and the number of AOIs in the project.
model_Fighter_dblDoubleThe score for the Fighter model derived during the workflow that produced the vector. Note: This is generally identical to the best_Fighter_dbl score.
model_Helicopter_dblDoubleThe score for the Helicopter model derived during the workflow that produced the vector. Note: This is generally identical to the best_Helicopter_dbl score.
model_Trees_dblDoubleThe score for the Trees model derived during the workflow that produced the vector. Note: This is generally identical to the best_Trees_dbl score.
model_Urban_dblDoubleThe score for the Urban model derived during the workflow that produced the vector. Note: This is generally identical to the best_Urban_dbl score.
sat_idStringThe satellite used to capture the imagery. Satellite options include: WV01, WV02, WV03, GE01, QB02

The following table is a list of ObjectDetection ingest_attributes that users can query on, as well as the type and a brief description of each attribute.

PropertiesTypeDescription
recipe_id_rawStringThe id of the recipe that has been executed to produce the vector.
_rest_userStringThe name of the "user" that the vector was ingested under.
project_id_rawStringThe id of the project that the vector is associated with upon vector creation.
_rest_urlStringThe url that the vector was ingested through.
run_id_rawStringThe unique id used to group vectors together that are the result of the same workflow/recipe run.