MobileNet_v1 model is one of the MobileNet family, which are small, low-latency, low-power. They can be used for classification, detection, embeddings and segmentation.
| Model | Download | Top-1 accuracy (%) | Top-5 accuracy (%) |
|---|---|---|---|
| MobileNet_v1 | model weight | 70.81 | 89.85 |
- MobileNet_v1 was described in the paper titled MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- The pre-train model is from the shicai/MobileNet-Caffe
BSD 3-Clause