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efficientnet

Image Classification
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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/efficientnet/ST_pretrainedmodel_public_dataset/LICENSE.md
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  pipeline_tag: image-classification
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  ---
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  # EfficientNet
@@ -71,14 +71,14 @@ For an image resolution of NxM and P classes :
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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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- | [ST EfficientNet LC v1 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/image_classification/efficientnet/ST_pretrainedmodel_public_dataset/food-101/st_efficientnet_lc_v1_128_tfs/st_efficientnet_lc_v1_128_tfs_int8.tflite) | Int8 | 128x128x3 | STM32N6 | 256 | 0 | 625.8 | 10.0.0 | 2.0.0 |
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- | [ST EfficientNet LC v1 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/image_classification/efficientnet/ST_pretrainedmodel_public_dataset/food-101/st_efficientnet_lc_v1_224_tfs/st_efficientnet_lc_v1_224_tfs_int8.tflite) | Int8 | 224x224x3 | STM32N6 | 784.02 | 0 | 632.55 | 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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- | [ST EfficientNet LC v1 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/image_classification/efficientnet/ST_pretrainedmodel_public_dataset/food-101/st_efficientnet_lc_v1_128_tfs/st_efficientnet_lc_v1_128_tfs_int8.tflite)| Int8 | 128x128x3 | STM32N6570-DK | NPU/MCU | 6.87 | 145.55 | 10.0.0 | 2.0.0 |
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- | [ST EfficientNet LC v1 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/image_classification/efficientnet/ST_pretrainedmodel_public_dataset/food-101/st_efficientnet_lc_v1_224_tfs/st_efficientnet_lc_v1_224_tfs_int8.tflite) | Int8 | 224x224x3 | STM32N6570-DK | NPU/MCU | 15.8 | 63.29 | 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/efficientnet/ST_pretrainedmodel_public_dataset/LICENSE.md
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  pipeline_tag: image-classification
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  ---
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  # EfficientNet
 
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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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+ | [ST EfficientNet LC v1 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/image_classification/efficientnet/ST_pretrainedmodel_public_dataset/food-101/st_efficientnet_lc_v1_128_tfs/st_efficientnet_lc_v1_128_tfs_int8.tflite) | Int8 | 128x128x3 | STM32N6 | 256 | 0 | 625.8 | 10.0.0 | 2.0.0 |
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+ | [ST EfficientNet LC v1 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/image_classification/efficientnet/ST_pretrainedmodel_public_dataset/food-101/st_efficientnet_lc_v1_224_tfs/st_efficientnet_lc_v1_224_tfs_int8.tflite) | Int8 | 224x224x3 | STM32N6 | 784.02 | 0 | 632.55 | 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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+ | [ST EfficientNet LC v1 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/image_classification/efficientnet/ST_pretrainedmodel_public_dataset/food-101/st_efficientnet_lc_v1_128_tfs/st_efficientnet_lc_v1_128_tfs_int8.tflite)| Int8 | 128x128x3 | STM32N6570-DK | NPU/MCU | 6.87 | 145.55 | 10.0.0 | 2.0.0 |
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+ | [ST EfficientNet LC v1 tfs](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/image_classification/efficientnet/ST_pretrainedmodel_public_dataset/food-101/st_efficientnet_lc_v1_224_tfs/st_efficientnet_lc_v1_224_tfs_int8.tflite) | Int8 | 224x224x3 | STM32N6570-DK | NPU/MCU | 15.8 | 63.29 | 10.0.0 | 2.0.0 |
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  ### Reference **MCU** memory footprints based on Flowers dataset (see Accuracy for details on dataset)