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YOLOv11-Segmentation

Image Segmentation
PyTorch
real_time
android
Model card Files Community
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v0.32.0

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See https://github.com/quic/ai-hub-models/releases/v0.32.0 for changelog.

Files changed (2) hide show
  1. LICENSE +2 -0
  2. README.md +10 -9
LICENSE ADDED
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+ The license of the original trained model can be found at https://github.com/ultralytics/ultralytics/blob/main/LICENSE.
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+ The license for the deployable model files (.tflite, .onnx, .dlc, .bin, etc.) can be found at https://github.com/ultralytics/ultralytics/blob/main/LICENSE.
README.md CHANGED
@@ -27,9 +27,10 @@ This model is an implementation of YOLOv11-Segmentation found [here](https://git
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  - **Model Stats:**
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  - Model checkpoint: YOLO11N-Seg
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  - Input resolution: 640x640
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- - Number of parameters: 2.9M
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  - Number of output classes: 80
 
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  - Model size (float): 11.1 MB
 
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  | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
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@@ -51,19 +52,19 @@ This model is an implementation of YOLOv11-Segmentation found [here](https://git
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  | YOLOv11-Segmentation | float | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 6.419 ms | 0 - 113 MB | NPU | -- |
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  | YOLOv11-Segmentation | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 8.599 ms | 4 - 30 MB | NPU | -- |
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  | YOLOv11-Segmentation | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN_DLC | 4.759 ms | 5 - 21 MB | NPU | -- |
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- | YOLOv11-Segmentation | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 91.355 ms | 95 - 105 MB | CPU | -- |
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  | YOLOv11-Segmentation | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 6.191 ms | 4 - 75 MB | NPU | -- |
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  | YOLOv11-Segmentation | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 3.467 ms | 5 - 195 MB | NPU | -- |
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- | YOLOv11-Segmentation | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 86.731 ms | 98 - 126 MB | CPU | -- |
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  | YOLOv11-Segmentation | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 5.867 ms | 3 - 64 MB | NPU | -- |
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  | YOLOv11-Segmentation | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN_DLC | 2.63 ms | 5 - 128 MB | NPU | -- |
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- | YOLOv11-Segmentation | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 89.273 ms | 100 - 114 MB | CPU | -- |
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  | YOLOv11-Segmentation | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 5.408 ms | 5 - 5 MB | NPU | -- |
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- | YOLOv11-Segmentation | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 31.81 ms | 117 - 117 MB | CPU | -- |
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- | YOLOv11-Segmentation | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 147.254 ms | 167 - 173 MB | CPU | -- |
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- | YOLOv11-Segmentation | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 110.463 ms | 163 - 187 MB | CPU | -- |
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- | YOLOv11-Segmentation | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 113.851 ms | 166 - 183 MB | CPU | -- |
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- | YOLOv11-Segmentation | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 60.839 ms | 258 - 258 MB | CPU | -- |
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  - **Model Stats:**
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  - Model checkpoint: YOLO11N-Seg
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  - Input resolution: 640x640
 
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  - Number of output classes: 80
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+ - Number of parameters: 2.89M
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  - Model size (float): 11.1 MB
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+ - Model size (w8a16): 11.4 MB
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  | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
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  |---|---|---|---|---|---|---|---|---|
 
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  | YOLOv11-Segmentation | float | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 6.419 ms | 0 - 113 MB | NPU | -- |
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  | YOLOv11-Segmentation | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 8.599 ms | 4 - 30 MB | NPU | -- |
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  | YOLOv11-Segmentation | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN_DLC | 4.759 ms | 5 - 21 MB | NPU | -- |
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+ | YOLOv11-Segmentation | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 104.627 ms | 90 - 104 MB | CPU | -- |
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  | YOLOv11-Segmentation | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 6.191 ms | 4 - 75 MB | NPU | -- |
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  | YOLOv11-Segmentation | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 3.467 ms | 5 - 195 MB | NPU | -- |
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+ | YOLOv11-Segmentation | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 81.515 ms | 101 - 127 MB | CPU | -- |
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  | YOLOv11-Segmentation | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 5.867 ms | 3 - 64 MB | NPU | -- |
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  | YOLOv11-Segmentation | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN_DLC | 2.63 ms | 5 - 128 MB | NPU | -- |
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+ | YOLOv11-Segmentation | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 89.263 ms | 106 - 121 MB | CPU | -- |
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  | YOLOv11-Segmentation | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 5.408 ms | 5 - 5 MB | NPU | -- |
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+ | YOLOv11-Segmentation | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 32.052 ms | 114 - 114 MB | CPU | -- |
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+ | YOLOv11-Segmentation | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 152.068 ms | 151 - 156 MB | CPU | -- |
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+ | YOLOv11-Segmentation | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 113.532 ms | 164 - 189 MB | CPU | -- |
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+ | YOLOv11-Segmentation | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 111.728 ms | 149 - 167 MB | CPU | -- |
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+ | YOLOv11-Segmentation | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 570.501 ms | 258 - 258 MB | CPU | -- |
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