Total runs:
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Run Growth:
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Sponsored by
Vmake Labs Video Enhancer
AXERA-TECH / Bird-Species-Classification
Model's Last Updated: June 15 2026
image-classification
Introduction of Bird-Species-Classification
Model Details of Bird-Species-Classification
Bird-Species-Classification
This project only to show a demo of Bird Species Classification model within 1400+ species of birds.
The model is trained with 224x224 resolution.
This model has been converted to run on the Axera NPU using w8a16 quantization.
This model has been optimized with the following LoRA:
Compatible with Pulsar2 version: 5.1
Convert tools links:
For those who are interested in model conversion, you can try to export axmodel through
Support Platform
- AX650
- AX630C
| Models | Platforms | latency | Top5 Accuracy | CMM size(MB) |
|---|---|---|---|---|
| AX650 | 0.19ms | |||
| bird | AX630C | 0.54ms | 66% | 1.07 |
| AX615 | 0.87ms |
How to use
Download all files from this repository to the device
root@ax650:~/Bird-Species-Classification# tree
.
├── README.md
├── axmodel_infer.py
├── class_name.txt
├── model
│ ├── AX615
│ │ ├── bird_615_npu1.axmodel
│ │ └── bird_615_npu2.axmodel
│ ├── AX620E
│ │ ├── bird_630_npu1.axmodel
│ │ └── bird_630_npu2.axmodel
│ └── AX650
│ └── bird_650_npu3.axmodel
├── onnx_infer.py
├── prediction_result_top5.png
├── quant
│ ├── Bird.json
│ ├── README.md
│ └── bird.tar.gz
└── test_images
├── 03111_2c0dfa5a-c4a0-47f8-ac89-6a289208050f.jpg
├── 03332_01b365c3-a741-4f45-bac2-4345bc901ec6.jpg
├── 03412_0ffc115b-43b4-4474-a373-24233f391de3.jpg
├── 03615_0dfbf6ae-434d-4648-b5d2-08412546ea64.jpg
├── 04251_3a52191e-be71-4539-98ea-14a8f2347330.jpg
├── 04405_0c5a6785-0bc2-49d9-9702-b9e94ba9b686.jpg
└── 04593_3d74d5a7-15b1-4bb9-af6f-1bcd78485787.jpg
6 directories, 20 files
python env requirement
pyaxengine
https://github.com/AXERA-TECH/pyaxengine
wget https://github.com/AXERA-TECH/pyaxengine/releases/download/0.1.3rc0/axengine-0.1.3-py3-none-any.whl
pip install axengine-0.1.3-py3-none-any.whl
Inference with AX650 Host, such as M4N-Dock(爱芯派Pro)
root@ax650:~/Bird-Species-Classification# python3 axmodel_infer.py --image test_images/04251_3a52191e-be71-4539-98ea-14a8f2347330.jpg
[INFO] Available providers: ['AxEngineExecutionProvider']
Loading ONNX model with providers: ['AxEngineExecutionProvider']
[INFO] Using provider: AxEngineExecutionProvider
[INFO] Chip type: ChipType.MC50
[INFO] VNPU type: VNPUType.DISABLED
[INFO] Engine version: 2.12.0s
[INFO] Model type: 2 (triple core)
[INFO] Compiler version: 5.1-patch1 74996179
Image: test_images/04251_3a52191e-be71-4539-98ea-14a8f2347330.jpg
Top-5 Predictions:
#1: 04251_Animalia_Chordata_Aves_Passeriformes_Tityridae_Tityra_semifasciata (0.9823)
#2: 04333_Animalia_Chordata_Aves_Passeriformes_Tyrannidae_Tyrannus_savana (0.0103)
#3: 04208_Animalia_Chordata_Aves_Passeriformes_Sylviidae_Sylvia_melanocephala (0.0056)
#4: 03561_Animalia_Chordata_Aves_Coraciiformes_Alcedinidae_Todiramphus_chloris (0.0009)
#5: 04455_Animalia_Chordata_Aves_Piciformes_Picidae_Melanerpes_lewis (0.0005)
Result saved to: prediction_result_top5.png
output：
Runs of AXERA-TECH Bird-Species-Classification on huggingface.co
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30-day runs
More Information About Bird-Species-Classification huggingface.co Model
Url of Bird-Species-Classification
Bird-Species-Classification huggingface.co Url
Provider of Bird-Species-Classification huggingface.co
Other API from AXERA-TECH
Updated:August 26 2026
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