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How to define target classes
Use this guide to map annotations to classification labels used during training.
1) Add classification target entries
Each entry defines a class name and matching tags.
classification_targets:
- name: pippip
tags:
- key: class
value: Pipistrellus pipistrellus
- name: pippyg
tags:
- key: class
value: Pipistrellus pygmaeus
2) Use assign_tags to control decoded output tags
If you want prediction output tags to differ from matching tags, set
assign_tags explicitly.
classification_targets:
- name: pipistrelle_group
tags:
- key: class
value: Pipistrellus pipistrellus
assign_tags:
- key: genus
value: Pipistrellus
3) Use match_if for complex class rules
For advanced conditions, use match_if instead of tags.
classification_targets:
- name: long_call
match_if:
name: duration
operator: gt
seconds: 0.02
4) Confirm class names are unique
classification_targets.name values must be unique.
Related pages
- Detection-target filtering:
{doc}
configure-target-definitions - ROI mapping:
{doc}
configure-roi-mapping - Targets config reference:
{doc}
../../reference/configs/data/targets-config-workflow