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yolo11-det

Object Detection
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ONNX
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int8
yolo
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hailo
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Eval Results (legacy)
Model card Files
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sebastientaylor commited on
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Update model card for yolo11-det

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  1. README.md +8 -0
README.md CHANGED
@@ -91,8 +91,11 @@ Row conventions in the table below:
91
  | Nano | ONNX FP32 (CUDA) | 53.10% | ref | 37.84% | 8.11 | 13.41 | 342.0 | [v-703](https://edgefirst.studio/public/validation/v-703/details?mode=charts) |
92
  | Nano | ONNX FP16 (CUDA) | 53.07% | -0.03 | 37.79% | 6.38 | 11.88 | 440.0 | [v-704](https://edgefirst.studio/public/validation/v-704/details?mode=charts) |
93
  | Nano | macOS CoreML — Neural Engine (FP16) | 53.05% | +0.00 | 37.82% | 1.83 | 5.62 | 720.5 | [v-516](https://edgefirst.studio/public/validation/v-516/details?mode=charts) |
 
94
  | Nano | macOS CoreML — Metal GPU (FP16) | 53.04% | -0.01 | 37.80% | 4.26 | 8.30 | 412.5 | [v-51e](https://edgefirst.studio/public/validation/v-51e/details?mode=charts) |
 
95
  | Nano | macOS CoreML — CPU (FP16) | 53.05% | +0.00 | 37.78% | 15.69 | 20.37 | 124.5 | [v-51f](https://edgefirst.studio/public/validation/v-51f/details?mode=charts) |
 
96
  | Nano | NXP i.MX 8M Plus + VeriSilicon NPU | 49.15% | -3.90 | 34.66% | 87.08 | 131.63 | 10.2 | [v-531](https://edgefirst.studio/public/validation/v-531/details?mode=charts) |
97
  | Nano | NXP i.MX 8M Plus + VeriSilicon NPU (FRDM) | 49.80% | -3.30 | 35.05% | 87.42 | 140.19 | 10.0 | [v-8a7](https://edgefirst.studio/public/validation/v-8a7/details?mode=charts) |
98
  | Nano | NXP i.MX 8M Plus + VeriSilicon NPU (FRDM) | 47.25% | -5.85 | 31.54% | 93.34 | 127.62 | 10.0 | [v-88e](https://edgefirst.studio/public/validation/v-88e/details?mode=charts) |
@@ -111,7 +114,9 @@ Row conventions in the table below:
111
  | Small | ONNX FP32 (CUDA) | 61.19% | ref | 44.88% | 15.36 | 20.95 | 205.5 | [v-705](https://edgefirst.studio/public/validation/v-705/details?mode=charts) |
112
  | Small | ONNX FP16 (CUDA) | 61.16% | -0.03 | 44.84% | 10.30 | 15.98 | 304.0 | [v-706](https://edgefirst.studio/public/validation/v-706/details?mode=charts) |
113
  | Small | macOS CoreML — Neural Engine (FP16) | 61.17% | -0.02 | 44.88% | 4.95 | 8.74 | 328.9 | [v-517](https://edgefirst.studio/public/validation/v-517/details?mode=charts) |
 
114
  | Small | macOS CoreML — Metal GPU (FP16) | 61.19% | +0.00 | 44.89% | 9.95 | 13.73 | 194.5 | [v-520](https://edgefirst.studio/public/validation/v-520/details?mode=charts) |
 
115
  | Small | macOS CoreML — CPU (FP16) | 61.13% | -0.06 | 44.86% | 31.94 | 36.54 | 60.0 | [v-521](https://edgefirst.studio/public/validation/v-521/details?mode=charts) |
116
  | Small | NXP i.MX 8M Plus + VeriSilicon NPU | 2.99% | -58.20 ⚠ | 1.78% | 174.38 | 207.49 | 5.0 | [v-7b1](https://edgefirst.studio/public/validation/v-7b1/details?mode=charts) |
117
  | Small | NXP i.MX 8M Plus + VeriSilicon NPU (FRDM) | 3.48% | -57.71 ⚠ | 2.34% | 168.47 | 220.09 | 6.0 | [v-9bc](https://edgefirst.studio/public/validation/v-9bc/details?mode=charts) |
@@ -125,7 +130,10 @@ Row conventions in the table below:
125
  | Medium | ONNX FP32 (CUDA) | 65.91% | ref | 49.59% | 39.57 | 45.08 | 88.0 | [v-707](https://edgefirst.studio/public/validation/v-707/details?mode=charts) |
126
  | Medium | ONNX FP16 (CUDA) | 65.90% | -0.01 | 49.55% | 22.09 | 28.59 | 152.0 | [v-708](https://edgefirst.studio/public/validation/v-708/details?mode=charts) |
127
  | Medium | macOS CoreML — Neural Engine (FP16) | 64.73% | -1.18 | 48.53% | 18.47 | 22.51 | 104.0 | [v-761](https://edgefirst.studio/public/validation/v-761/details?mode=charts) |
 
128
  | Medium | macOS CoreML — Metal GPU (FP16) | 64.75% | -1.16 | 48.59% | 40.41 | 44.71 | 72.0 | [v-76b](https://edgefirst.studio/public/validation/v-76b/details?mode=charts) |
 
 
129
  | Medium | NXP i.MX 8M Plus + VeriSilicon NPU | 50.85% | -15.06 ⚠ | 35.38% | 333.96 | 367.36 | 3.0 | [v-794](https://edgefirst.studio/public/validation/v-794/details?mode=charts) |
130
  | Medium | NXP i.MX 8M Plus + VeriSilicon NPU | 53.75% | -12.16 ⚠ | 39.48% | 327.98 | 377.23 | 3.0 | [v-780](https://edgefirst.studio/public/validation/v-780/details?mode=charts) |
131
  | Medium | NXP i.MX 8M Plus + VeriSilicon NPU (FRDM) | 54.45% | -11.46 ⚠ | 40.02% | 328.40 | 380.36 | 3.0 | [v-98d](https://edgefirst.studio/public/validation/v-98d/details?mode=charts) |
 
91
  | Nano | ONNX FP32 (CUDA) | 53.10% | ref | 37.84% | 8.11 | 13.41 | 342.0 | [v-703](https://edgefirst.studio/public/validation/v-703/details?mode=charts) |
92
  | Nano | ONNX FP16 (CUDA) | 53.07% | -0.03 | 37.79% | 6.38 | 11.88 | 440.0 | [v-704](https://edgefirst.studio/public/validation/v-704/details?mode=charts) |
93
  | Nano | macOS CoreML — Neural Engine (FP16) | 53.05% | +0.00 | 37.82% | 1.83 | 5.62 | 720.5 | [v-516](https://edgefirst.studio/public/validation/v-516/details?mode=charts) |
94
+ | Nano | macOS CoreML — Neural Engine (FP16) | 52.61% | -0.49 | 37.49% | 1.84 | 5.29 | 783.0 | [v-9c6](https://edgefirst.studio/public/validation/v-9c6/details?mode=charts) |
95
  | Nano | macOS CoreML — Metal GPU (FP16) | 53.04% | -0.01 | 37.80% | 4.26 | 8.30 | 412.5 | [v-51e](https://edgefirst.studio/public/validation/v-51e/details?mode=charts) |
96
+ | Nano | macOS CoreML — Metal GPU (FP16) | 52.59% | -0.51 | 37.48% | 6.46 | 10.76 | 397.5 | [v-9c4](https://edgefirst.studio/public/validation/v-9c4/details?mode=charts) |
97
  | Nano | macOS CoreML — CPU (FP16) | 53.05% | +0.00 | 37.78% | 15.69 | 20.37 | 124.5 | [v-51f](https://edgefirst.studio/public/validation/v-51f/details?mode=charts) |
98
+ | Nano | macOS CoreML — CPU (FP16) | 52.60% | -0.50 | 37.46% | 14.78 | 18.90 | 127.0 | [v-9c5](https://edgefirst.studio/public/validation/v-9c5/details?mode=charts) |
99
  | Nano | NXP i.MX 8M Plus + VeriSilicon NPU | 49.15% | -3.90 | 34.66% | 87.08 | 131.63 | 10.2 | [v-531](https://edgefirst.studio/public/validation/v-531/details?mode=charts) |
100
  | Nano | NXP i.MX 8M Plus + VeriSilicon NPU (FRDM) | 49.80% | -3.30 | 35.05% | 87.42 | 140.19 | 10.0 | [v-8a7](https://edgefirst.studio/public/validation/v-8a7/details?mode=charts) |
101
  | Nano | NXP i.MX 8M Plus + VeriSilicon NPU (FRDM) | 47.25% | -5.85 | 31.54% | 93.34 | 127.62 | 10.0 | [v-88e](https://edgefirst.studio/public/validation/v-88e/details?mode=charts) |
 
114
  | Small | ONNX FP32 (CUDA) | 61.19% | ref | 44.88% | 15.36 | 20.95 | 205.5 | [v-705](https://edgefirst.studio/public/validation/v-705/details?mode=charts) |
115
  | Small | ONNX FP16 (CUDA) | 61.16% | -0.03 | 44.84% | 10.30 | 15.98 | 304.0 | [v-706](https://edgefirst.studio/public/validation/v-706/details?mode=charts) |
116
  | Small | macOS CoreML — Neural Engine (FP16) | 61.17% | -0.02 | 44.88% | 4.95 | 8.74 | 328.9 | [v-517](https://edgefirst.studio/public/validation/v-517/details?mode=charts) |
117
+ | Small | macOS CoreML — Neural Engine (FP16) | 60.35% | -0.84 | 44.20% | 5.01 | 8.45 | 342.0 | [v-9d0](https://edgefirst.studio/public/validation/v-9d0/details?mode=charts) |
118
  | Small | macOS CoreML — Metal GPU (FP16) | 61.19% | +0.00 | 44.89% | 9.95 | 13.73 | 194.5 | [v-520](https://edgefirst.studio/public/validation/v-520/details?mode=charts) |
119
+ | Small | macOS CoreML — Metal GPU (FP16) | 60.36% | -0.83 | 44.18% | 14.68 | 18.53 | 190.0 | [v-9d1](https://edgefirst.studio/public/validation/v-9d1/details?mode=charts) |
120
  | Small | macOS CoreML — CPU (FP16) | 61.13% | -0.06 | 44.86% | 31.94 | 36.54 | 60.0 | [v-521](https://edgefirst.studio/public/validation/v-521/details?mode=charts) |
121
  | Small | NXP i.MX 8M Plus + VeriSilicon NPU | 2.99% | -58.20 ⚠ | 1.78% | 174.38 | 207.49 | 5.0 | [v-7b1](https://edgefirst.studio/public/validation/v-7b1/details?mode=charts) |
122
  | Small | NXP i.MX 8M Plus + VeriSilicon NPU (FRDM) | 3.48% | -57.71 ⚠ | 2.34% | 168.47 | 220.09 | 6.0 | [v-9bc](https://edgefirst.studio/public/validation/v-9bc/details?mode=charts) |
 
130
  | Medium | ONNX FP32 (CUDA) | 65.91% | ref | 49.59% | 39.57 | 45.08 | 88.0 | [v-707](https://edgefirst.studio/public/validation/v-707/details?mode=charts) |
131
  | Medium | ONNX FP16 (CUDA) | 65.90% | -0.01 | 49.55% | 22.09 | 28.59 | 152.0 | [v-708](https://edgefirst.studio/public/validation/v-708/details?mode=charts) |
132
  | Medium | macOS CoreML — Neural Engine (FP16) | 64.73% | -1.18 | 48.53% | 18.47 | 22.51 | 104.0 | [v-761](https://edgefirst.studio/public/validation/v-761/details?mode=charts) |
133
+ | Medium | macOS CoreML — Neural Engine (FP16) | 64.73% | -1.18 | 48.53% | 18.01 | 22.10 | 106.0 | [v-9d9](https://edgefirst.studio/public/validation/v-9d9/details?mode=charts) |
134
  | Medium | macOS CoreML — Metal GPU (FP16) | 64.75% | -1.16 | 48.59% | 40.41 | 44.71 | 72.0 | [v-76b](https://edgefirst.studio/public/validation/v-76b/details?mode=charts) |
135
+ | Medium | macOS CoreML — Metal GPU (FP16) | 64.75% | -1.16 | 48.59% | 49.69 | 54.31 | 59.0 | [v-9da](https://edgefirst.studio/public/validation/v-9da/details?mode=charts) |
136
+ | Medium | macOS CoreML — CPU (FP16) | 64.71% | -1.20 | 48.55% | 65.01 | 69.09 | 30.0 | [v-9db](https://edgefirst.studio/public/validation/v-9db/details?mode=charts) |
137
  | Medium | NXP i.MX 8M Plus + VeriSilicon NPU | 50.85% | -15.06 ⚠ | 35.38% | 333.96 | 367.36 | 3.0 | [v-794](https://edgefirst.studio/public/validation/v-794/details?mode=charts) |
138
  | Medium | NXP i.MX 8M Plus + VeriSilicon NPU | 53.75% | -12.16 ⚠ | 39.48% | 327.98 | 377.23 | 3.0 | [v-780](https://edgefirst.studio/public/validation/v-780/details?mode=charts) |
139
  | Medium | NXP i.MX 8M Plus + VeriSilicon NPU (FRDM) | 54.45% | -11.46 ⚠ | 40.02% | 328.40 | 380.36 | 3.0 | [v-98d](https://edgefirst.studio/public/validation/v-98d/details?mode=charts) |