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  license: other
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  license_name: sla0044
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  license_link: >-
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- https://github.com/STMicroelectronics/stm32ai-modelzoo/image_classification/LICENSE.md
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  ---
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  # Fd-MobileNet
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@@ -69,19 +69,19 @@ For an image resolution of NxM and P classes and 0.25 alpha parameter :
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  ### Reference **NPU** memory footprint on food-101 dataset (see Accuracy for details on dataset)
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  |Model | Format | Resolution | Series | Internal RAM (KiB)| External RAM (KiB)| Weights Flash (KiB)| STM32Cube.AI version | STEdgeAI Core version |
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  |----------|--------|-------------|------------------|------------------|---------------------|-------|----------------------|-------------------------|
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- | [FdMobileNet 0.25 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/image_classification/fdmobilenet/ST_pretrainedmodel_public_dataset/food-101/fdmobilenet_0.25_224_tfs/fdmobilenet_0.25_224_tfs_int8.tflite) | Int8 | 224x224x3 | STM32N6 | 294 |0.0| 209.92 | 10.0.0 | 2.0.0 |
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- | [ST FdMobileNet v1 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/image_classification/fdmobilenet/ST_pretrainedmodel_public_dataset/food-101/st_fdmobilenet_v1_224_tfs/st_fdmobilenet_v1_224_tfs_int8.tflite) | Int8 | 224x224x3 | STM32N6 | 294 | 0.0 | 236.49 | 10.0.0 | 2.0.0 |
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- | [FdMobileNet 0.25 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/image_classification/fdmobilenet/ST_pretrainedmodel_public_dataset/food-101/fdmobilenet_0.25_128_tfs/fdmobilenet_0.25_128_tfs_int8.tflite) | Int8 | 128x128x3 | STM32N6 | 96 | 0.0 | 209.92 | 10.0.0 | 2.0.0 |
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- | [ST FdMobileNet v1 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/image_classification/fdmobilenet/ST_pretrainedmodel_public_dataset/food-101/st_fdmobilenet_v1_128_tfs/st_fdmobilenet_v1_128_tfs_int8.tflite) | Int8 | 128x128x3 | STM32N6 | 96 | 0.0 | 236.49 | 10.0.0 | 2.0.0 |
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  ### Reference **NPU** inference time on food-101 dataset (see Accuracy for details on dataset)
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  | Model | Format | Resolution | Board | Execution Engine | Inference time (ms) | Inf / sec | STM32Cube.AI version | STEdgeAI Core version |
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  |--------|--------|-------------|------------------|------------------|---------------------|-------|----------------------|-------------------------|
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- | [FdMobileNet 0.25 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/image_classification/fdmobilenet/ST_pretrainedmodel_public_dataset/food-101/fdmobilenet_0.25_224_tfs/fdmobilenet_0.25_224_tfs_int8.tflite) | Int8 | 224x224x3 | STM32N6570-DK | NPU/MCU | 1.46 | 684.93 | 10.0.0 | 2.0.0 |
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- | [ST FdMobileNet v1 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/image_classification/fdmobilenet/ST_pretrainedmodel_public_dataset/food-101/st_fdmobilenet_v1_224_tfs/st_fdmobilenet_v1_224_tfs_int8.tflite) | Int8 | 224x224x3 | STM32N6570-DK | NPU/MCU | 1.81 | 552.49 | 10.0.0 | 2.0.0 |
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- | [FdMobileNet 0.25 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/image_classification/fdmobilenet/ST_pretrainedmodel_public_dataset/food-101/fdmobilenet_0.25_128_tfs/fdmobilenet_0.25_128_tfs_int8.tflite) | Int8 | 128x128x3 | STM32N6570-DK | NPU/MCU | 0.93 | 1075.27 | 10.0.0 | 2.0.0 |
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- | [ST FdMobileNet v1 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/image_classification/fdmobilenet/ST_pretrainedmodel_public_dataset/food-101/st_fdmobilenet_v1_128_tfs/st_fdmobilenet_v1_128_tfs_int8.tflite) | Int8 | 128x128x3 | STM32N6570-DK | NPU/MCU | 1.07 | 934.58 | 10.0.0 | 2.0.0 |
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  ### Reference **MCU** memory footprints based on Flowers dataset (see Accuracy for details on dataset)
 
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  license: other
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  license_name: sla0044
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  license_link: >-
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+ https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/image_classification/LICENSE.md
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  ---
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  # Fd-MobileNet
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  ### Reference **NPU** memory footprint on food-101 dataset (see Accuracy for details on dataset)
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  |Model | Format | Resolution | Series | Internal RAM (KiB)| External RAM (KiB)| Weights Flash (KiB)| STM32Cube.AI version | STEdgeAI Core version |
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  |----------|--------|-------------|------------------|------------------|---------------------|-------|----------------------|-------------------------|
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+ | [FdMobileNet 0.25 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/image_classification/fdmobilenet/ST_pretrainedmodel_public_dataset/food-101/fdmobilenet_0.25_224_tfs/fdmobilenet_0.25_224_tfs_int8.tflite) | Int8 | 224x224x3 | STM32N6 | 294 |0.0| 209.92 | 10.0.0 | 2.0.0 |
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+ | [ST FdMobileNet v1 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/image_classification/fdmobilenet/ST_pretrainedmodel_public_dataset/food-101/st_fdmobilenet_v1_224_tfs/st_fdmobilenet_v1_224_tfs_int8.tflite) | Int8 | 224x224x3 | STM32N6 | 294 | 0.0 | 236.49 | 10.0.0 | 2.0.0 |
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+ | [FdMobileNet 0.25 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/image_classification/fdmobilenet/ST_pretrainedmodel_public_dataset/food-101/fdmobilenet_0.25_128_tfs/fdmobilenet_0.25_128_tfs_int8.tflite) | Int8 | 128x128x3 | STM32N6 | 96 | 0.0 | 209.92 | 10.0.0 | 2.0.0 |
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+ | [ST FdMobileNet v1 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/image_classification/fdmobilenet/ST_pretrainedmodel_public_dataset/food-101/st_fdmobilenet_v1_128_tfs/st_fdmobilenet_v1_128_tfs_int8.tflite) | Int8 | 128x128x3 | STM32N6 | 96 | 0.0 | 236.49 | 10.0.0 | 2.0.0 |
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  ### Reference **NPU** inference time on food-101 dataset (see Accuracy for details on dataset)
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  | Model | Format | Resolution | Board | Execution Engine | Inference time (ms) | Inf / sec | STM32Cube.AI version | STEdgeAI Core version |
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  |--------|--------|-------------|------------------|------------------|---------------------|-------|----------------------|-------------------------|
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+ | [FdMobileNet 0.25 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/image_classification/fdmobilenet/ST_pretrainedmodel_public_dataset/food-101/fdmobilenet_0.25_224_tfs/fdmobilenet_0.25_224_tfs_int8.tflite) | Int8 | 224x224x3 | STM32N6570-DK | NPU/MCU | 1.46 | 684.93 | 10.0.0 | 2.0.0 |
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+ | [ST FdMobileNet v1 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/image_classification/fdmobilenet/ST_pretrainedmodel_public_dataset/food-101/st_fdmobilenet_v1_224_tfs/st_fdmobilenet_v1_224_tfs_int8.tflite) | Int8 | 224x224x3 | STM32N6570-DK | NPU/MCU | 1.81 | 552.49 | 10.0.0 | 2.0.0 |
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+ | [FdMobileNet 0.25 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/image_classification/fdmobilenet/ST_pretrainedmodel_public_dataset/food-101/fdmobilenet_0.25_128_tfs/fdmobilenet_0.25_128_tfs_int8.tflite) | Int8 | 128x128x3 | STM32N6570-DK | NPU/MCU | 0.93 | 1075.27 | 10.0.0 | 2.0.0 |
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+ | [ST FdMobileNet v1 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/image_classification/fdmobilenet/ST_pretrainedmodel_public_dataset/food-101/st_fdmobilenet_v1_128_tfs/st_fdmobilenet_v1_128_tfs_int8.tflite) | Int8 | 128x128x3 | STM32N6570-DK | NPU/MCU | 1.07 | 934.58 | 10.0.0 | 2.0.0 |
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  ### Reference **MCU** memory footprints based on Flowers dataset (see Accuracy for details on dataset)