Developer Tools

Neural Object Detector

Test supported object-detection/classification models on a device camera.

Our take

Useful for developers exploring compatible Core ML pipelines

Bundled YOLOv3/ResNet50 and import controls connect model choice with visible annotations.

Keep in mind: Custom detection models must use the specified pipeline .mlmodel format; label boxes are model estimates, not dependable identification for safety-critical use.

What you can do

  • Bundled detection/classification models
  • Supported model import and CPU/camera options
  • Annotated-image saving and sharing

Good for

  • Developers testing authorized images and models

Consider alternatives for

  • Guaranteed support for arbitrary model formats or perfect detection

Limitations & considerations

  • Captured minimum: iOS 13.0.
  • Custom detection models must use the specified pipeline .mlmodel format; label boxes are model estimates, not dependable identification for safety-critical use.

Privacy & permissions

Developer says ML runs on-device without private analytics; optional support email attaches technical logs that can be removed, and image exports expose the selected scene.

Sources & review notes Updated Nov 12, 2026

Reviewed by iApp4Me Editorial Team. Recommendations use the linked documentation and attributed accounts; device observations are identified separately.

  1. US App Store developer description

    Complete description, download price and compatibility metadata captured 2026-11-02.

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