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---
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
---
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## 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) |