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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
---
## Inception-v3: Image Classification
Inception-v3 is the third version of the Inception series proposed by Google, known for its efficiency in convolutional neural networks and widely used for image classification tasks. The key idea behind Inception-v3 is its modular design, where multiple convolution filters of different sizes run in parallel, enabling the extraction of multi-scale features to improve the network’s representational power. The model incorporates techniques like batch normalization, factorized convolutions, and auxiliary classifiers, which reduce computational complexity while enhancing stability and accuracy. Inception-v3 has demonstrated outstanding performance on the ImageNet classification task, making it a key benchmark in deep learning.
### Source model
- Input shape: 299x299
- Number of paramaters: 25.9M
- Model size: 90.9M
- Output shape: 1x1000
Source model repository: [Inception-v3](https://github.com/pytorch/vision/blob/main/torchvision/models/inception.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) |