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| | RF_DETR_NANO (XNNPACK FP32) | TBD | TBD | | ||
| | YOLO26N (XNNPACK FP32) | TBD | TBD | | ||
| | YOLO26S (XNNPACK FP32) | TBD | TBD | | ||
| | YOLO26M (XNNPACK FP32) | TBD | TBD | | ||
| | YOLO26L (XNNPACK FP32) | TBD | TBD | | ||
| | YOLO26X (XNNPACK FP32) | TBD | TBD | |
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| | RF_DETR_NANO (XNNPACK FP32) | TBD | TBD | | ||
| | YOLO26N (XNNPACK FP32) | TBD | TBD | | ||
| | YOLO26S (XNNPACK FP32) | TBD | TBD | | ||
| | YOLO26M (XNNPACK FP32) | TBD | TBD | | ||
| | YOLO26L (XNNPACK FP32) | TBD | TBD | | ||
| | YOLO26X (XNNPACK FP32) | TBD | TBD | |
Co-authored-by: Mateusz Sluszniak <56299341+msluszniak@users.noreply.github.com>
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Documentation CI fails because this PR needs to be committed: #1000. I will also add benchmarks for iOS. Other than that, please review this PR. |
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Description
This PR adds yolo models and multi-method support to our ObjectDetection API.
Deduplication of common CV code will be done in a separate PR
Introduces a breaking change?
Type of change
Tested on
Testing instructions
Try running example apps with Yolo models
Run tests
Screenshots
Related issues
Closes #718
Checklist
Additional notes