Update model card for yolo11-seg
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README.md
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**NXP i.MX 8M Plus** | **NXP i.MX 93** | **NXP i.MX 95** | **NXP Ara240** | **RPi5 + Hailo-8/8L** | **NVIDIA Jetson**
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YOLO11 Segmentation models optimized for edge AI deployment across multiple hardware platforms. All sizes from Nano to XLarge, in ONNX FP32 and TFLite INT8 formats, with platform-specific compiled models for NPU acceleration.
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Trained on [COCO 2017](https://test.edgefirst.studio/public/projects/2839/home) (80 classes). Part of the [EdgeFirst Model Zoo](https://huggingface.co/EdgeFirst).
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> [!TIP]
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> **Training session**: [View on EdgeFirst Studio](https://test.edgefirst.studio/public/projects/2840/experiment/training/list?exp_id=4622) — dataset, training config, metrics, and exported artifacts.
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## See Also
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Other models in the [EdgeFirst Model Zoo](https://huggingface.co/EdgeFirst):
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| Model | Task | Best Nano Metric | Link |
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|-------|------|-------------------|------|
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**NXP i.MX 8M Plus** | **NXP i.MX 93** | **NXP i.MX 95** | **NXP Ara240** | **RPi5 + Hailo-8/8L** | **NVIDIA Jetson**
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| 40 |
YOLO11 Segmentation models optimized for edge AI deployment across multiple hardware platforms. All sizes from Nano to XLarge, in ONNX FP32 and TFLite INT8 formats, with platform-specific compiled models for NPU acceleration.
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Trained on [COCO 2017](https://test.edgefirst.studio/public/projects/2839/home) (80 classes). Part of the [EdgeFirst Model Zoo](https://huggingface.co/spaces/EdgeFirst/Models).
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> [!TIP]
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> **Training session**: [View on EdgeFirst Studio](https://test.edgefirst.studio/public/projects/2840/experiment/training/list?exp_id=4622) — dataset, training config, metrics, and exported artifacts.
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## See Also
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Other models in the [EdgeFirst Model Zoo](https://huggingface.co/spaces/EdgeFirst/Models):
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| Model | Task | Best Nano Metric | Link |
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|-------|------|-------------------|------|
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