---
language: en
license: apache-2.0
tags:
- axera
- ax650
- axmodel
- image-classification
- mobilenet
- timm
library_name: axengine
pipeline_tag: image-classification
---

# MobileNetV3-Small — AX650 Image Classification

MobileNetV3-Small (ImageNet-1k, 1000 classes) compiled to AX650 AXMODEL via Pulsar2.

## Model

| Item | Value |
|------|-------|
| Architecture | MobileNetV3-Small 100 |
| Source | [timm/mobilenetv3_small_100.lamb_in1k](https://hf-mirror.com/timm/mobilenetv3_small_100.lamb_in1k) |
| Task | Image Classification (1000 cls) |
| Input | 224×224 BGR, uint8→float [0,1] |
| Chip | AX650N (NPU3) |
| Quantization | INT8 |
| Size | 3.3 MB |
| Board | BSP 3.10.2, axengine.InferenceSession |

## Usage (on AX650 board)

```python
import numpy as np
import axengine

sess = axengine.InferenceSession("model.axmodel")
data = np.random.rand(1, 3, 224, 224).astype(np.float32)
out = sess.run(None, {"images": data})
print(out[0].argmax())  # predicted class
```