EfficientNets are a family of image classification models, which achieve state-of-the-art accuracy, yet being an order-of-magnitude smaller and faster than previous models[1], which is trained on [imagenet dataset](https://image-net.org/download.php).
EfficientNets are a family of image classification models, which achieve state-of-the-art accuracy, yet being an order-of-magnitude smaller and faster than previous models[1], which is trained on [imagenet dataset](https://image-net.org/download.php).
## Interface
## Interface
```python
```python
@ -51,9 +50,6 @@ You can get the required python package by [requirements.txt](./requirements.txt
The `towhee/efficientnet-embedding` Operator implements the function of image embedding, which can add to the pipeline. For example, it's the key Operator named embedding_model within [efficientnet-embedding](https://hub.towhee.io/towhee/efficientnet-embedding) pipeline.
The `towhee/efficientnet-embedding` Operator implements the function of image embedding, which can add to the pipeline. For example, it's the key Operator named embedding_model within [efficientnet-embedding](https://hub.towhee.io/towhee/efficientnet-embedding) pipeline.
