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