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mobilenetv3-small
AXERA-TECH/mobilenetv3-small
mobilenetv3-small is a image classification model from AXERA-TECH. Use it when you need a label for an image. It is set up for axengine. The card lists the license as apache-2.0.
MobileNetV3-Small (ImageNet-1k, 1000 classes) compiled to AX650 AXMODEL via Pulsar2.
Access
Public
Updated Jul 13, 2026
Repo size
3.4 MB
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.axmodel3.4 MB · 100%
At a glance
- Task
- Image Classification
- Library
- axengine
- License
- apache-2.0
- Access
- Public
- Created
- Jul 13, 2026
- Updated
- Jul 13, 2026
- SHA
- 22236ff8
Model card
From the Hugging Face model README
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 |
| 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)
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
- Task
- Image Classification
- Library
- axengine
- License
- apache-2.0
- Languages
- en
- Created
- Jul 13, 2026
- Updated
- Jul 13, 2026