Update README.md

README.md

@@ -1,5 +1,38 @@
----
-license: other
-license_name: aplux-model-farm-license
-license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf
----
+---
+license: other
+license_name: aplux-model-farm-license
+license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf
+pipeline_tag: image-classification
+tags:
+- AIoT
+- QNN
+---
+
+![](https://aiot.aidlux.com/_next/image?url=%2Fapi%2Fv1%2Ffiles%2Fmodel%2Fcover%2F20250320024655_%25E5%259B%25BE1(4).png&w=640&q=75)
+
+## Swin-Base: Image Classification
+
+Swin-Base is the base version of the Swin Transformer family, a hierarchical Vision Transformer that excels at image representation tasks. It introduces a shifted window attention mechanism, enabling efficient computation while capturing both local and global image context. Swin-Base is widely used in tasks such as image classification, object detection, and semantic segmentation. As a mid-sized model, it strikes a strong balance between accuracy and inference efficiency, offering better generalization compared to conventional CNN-based architectures, and is well-suited for various computer vision applications.
+
+### Source model
+
+- Input shape: 1x3x224x224
+- Number of parameters: 83.70M
+- Model size: 340.3M
+- Output shape: 1x1000
+
+The source model can be found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/swin_transformer.py)
+
+## Performance Reference
+
+Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models)
+
+## Inference & Model Conversion
+
+Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models)
+
+## License
+
+- Source Model: [BSD-3-CLAUSE](https://github.com/pytorch/vision/blob/main/LICENSE)
+
+- Deployable Model: [APLUX-MODEL-FARM-LICENSE](https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf)