Upload metadata.yaml
Browse filesAdding Arm AI Portal metadata
- metadata.yaml +43 -0
metadata.yaml
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# Metadata generated by ARM Model Optimization Pipeline
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version: 1.0.0
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task: vision-detection
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created_at: '2026-09-12T01:01:35Z'
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context:
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model:
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id: yolo26n
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base_model_id: yolo26n
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profile: Arm-Optimized
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weight_dtype: fp32
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model_size_mb: 11.287
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parameter_count: 2572280
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format: armrt-bundle
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target:
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name: Raspberry Pi 5
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hardware_class: Edge Linux
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cpu_architecture: arm64
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cpu_model: Cortex-A76
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cpu_core_count: 4
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cpu_clock_ghz: 2.4
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system_memory_gb: 8
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os: linux
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os_version: Raspberry Pi OS Bookworm
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runtime:
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name: armrt
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execution_backend: cpu
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config:
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optimisations:
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- XNNPACK
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dataset:
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name: COCO 2017
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sample_count: 128
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reference_url: https://cocodataset.org/
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slice: val2017
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benchmark:
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batch_size: 1
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input_resolution: 640x640
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num_runs: 50
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warmup_runs: 10
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accuracy:
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mAP_50_95_pct: 46.16
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mAP_50_pct: 49.47
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mAP_75_pct: 42.84
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