# `ImagePipe.Transform.Detector.ImageVision.Objects`
[🔗](https://github.com/hlindset/image_pipe/blob/v0.2.0/image_pipe/lib/image_pipe/transform/detector/image_vision/objects.ex#L1)

`ImagePipe.Transform.Detector` for general objects, backed by the optional
`image_vision` dependency (`Image.Detection`, RT-DETR, COCO-80). The dependency
is not declared by ImagePipe — hosts opt in. When absent, `available?/1` is
false and callers fall back gracefully.

Objects with a confidence score below 0.5 are dropped before ImagePipe
sees them.

Class names use the URL-facing underscore spelling (`traffic_light`); the model
emits spaces (`"traffic light"`), which this adapter normalizes on both sides.

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*Consult [api-reference.md](api-reference.md) for complete listing*