feat(vision): integrate MobilenetV4 for imagenet

jmejia-brainchip · jmejia-brainchip · commit 617a5491d392 · 2025-11-03T17:11:20.000+01:00
Signed-off-by: jmejia &lt;jmejia@brainchipinc.com&gt;
diff --git a/README.md b/README.md
@@ -24,6 +24,7 @@ In addition, some models can be evaluated directly through [Akida Cloud](https:/
 | Vision        | Classification    | [MobileNetV2 1.0](vision/classification/mobilenetv2/imagenet)             | 224        | ImageNet      | 3.5M    | 8            | 70.35%   |          |       | 7              |
 | Vision        | Classification    | [MobileNetV2 0.75](vision/classification/mobilenetv2/imagenet)            | 160        | ImageNet      | 2.6M    | 8            | 62.85%   |          |       | 4 ☁️          |
 | Vision        | Classification    | [MobileNetV2 0.35](vision/classification/mobilenetv2/imagenet)            | 96         | ImageNet      | 1.2M    | 8            | 43.47%   |          |       | 2 ☁️          |
+| Vision        | Classification    | [MobileNetV4 1.0](vision/classification/mobilenetv4/imagenet)             | 224        | ImageNet      | 3.77M   | 8            | 71.86%   |          |       | 8 ☁️          |
 | Vision        | Classification    | [MobileNetV2_1.0](vision/classification/mobilenetv2/cifar10)              | 128        | CIFAR-10      | 2.25M   | 8            | 93.96%   |          |       | 5 ☁️          |
 | Vision        | Classification    | [MobileNetV2_1.0](vision/classification/mobilenetv2/oxford_flowers)       | 224        | Oxford_Flower | 2.4M    | 8            | 91.97%   |          |       | 7              |
 | Vision        | Classification    | [MobileNetV4_1.0](vision/classification/mobilenetv4/cifar10)              | 128        | CIFAR-10      | 2.5M    | 8            | 94.72%   |          |       | 7              |
diff --git a/vision/classification/mobilenetv4/imagenet/README.md b/vision/classification/mobilenetv4/imagenet/README.md
@@ -0,0 +1,19 @@
+# MobileNetV4-Conv-Small
+
+## Source
+https://huggingface.co/timm/mobilenetv4_conv_small.e2400_r224_in1k
+
+## Environment
+```
+torch: 2.0
+torchvision
+timm
+quantizeml: 1.1.1
+```
+
+## References
+- **MobileNet-v4** Model from the paper [Exploring the MobileNetV4 Architecture](https://arxiv.org/abs/2404.10518)
+- Model Card [MobileNetV4-Conv-Small](https://huggingface.co/timm/mobilenetv4_conv_small.e2400_r224_in1k)
+
+## License
+Please refer to [https://huggingface.co/timm/mobilenetv4_conv_small.e2400_r224_in1k](https://huggingface.co/timm/mobilenetv4_conv_small.e2400_r224_in1k)
diff --git a/vision/classification/mobilenetv4/imagenet/mobilenet_v4_small_224.onnx b/vision/classification/mobilenetv4/imagenet/mobilenet_v4_small_224.onnx
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diff --git a/vision/classification/mobilenetv4/imagenet/mobilenet_v4_small_224_i8_w8_a8.onnx b/vision/classification/mobilenetv4/imagenet/mobilenet_v4_small_224_i8_w8_a8.onnx
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