SqueezeNet is a small CNN which achieves AlexNet level accuracy on ImageNet with 50x fewer parameters. SqueezeNet requires less communication across servers during distributed training, less bandwidth to export a new model from the cloud to an autonomous car and more feasible to deploy on FPGAs and other hardware with limited memory.
| Model | Download | ONNX version | Opset version | Top-1 accuracy (%) | Top-5 accuracy (%) |
|---|---|---|---|---|---|
| SqueezeNet 1.0 | 5 MB | 1.9 | 12 | 56.85 | 79.87 |
- SqueezeNet1.0 Model from the paper SqueezeNet
- MXNet, Gluon model zoo, GluonCV
- Intel® Neural Compressor
- onnx/models
- abhinavs95 (Amazon AI)
- ankkhedia (Amazon AI)
- mengniwang95 (Intel)
- airMeng (Intel)
- ftian1 (Intel)
- hshen14 (Intel)
Apache 2.0