AXERA-TECH / YOLOv5

huggingface.co
Total runs: 28
24-hour runs: 0
7-day runs: 2
30-day runs: 1
Model's Last Updated: October 12 2026
object-detection

Introduction of YOLOv5

Model Details of YOLOv5

YOLOv5

This version of YOLOv5 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: 3.4

Convert tools links:

For those who are interested in model conversion, you can try to export axmodel through

Support Platform
Chips cost
AX650 6.32 ms
AX630C TBD ms
How to use

Download all files from this repository to the device

root@ax650 ~/yolov5 # tree -L 2
.
├── ax650
│   └── yolov5s.axmodel
├── ax_aarch64
│   └── ax_yolov5s
├── config.json
├── ssd_horse.jpg
├── README.md
├── yolov5_config.json
├── yolov5s-cut.onnx
├── yolov5s.onnx
└── yolov5s_out.jpg

3 directories, 9 files
Inference

Input image:

Inference with AX650 Host, such as M4N-Dock(爱芯派Pro)
root@ax650 ~/yolov5 # ./ax_yolov5s -m yolov5s.axmodel -i ssd_horse.jpg
--------------------------------------
model file : yolov5s.axmodel
image file : ssd_horse.jpg
img_h, img_w : 640 640
--------------------------------------
Engine creating handle is done.
Engine creating context is done.
Engine get io info is done.
Engine alloc io is done.
Engine push input is done.
--------------------------------------
post process cost time:1.91 ms
--------------------------------------
Repeat 1 times, avg time 6.32 ms, max_time 6.32 ms, min_time 6.32 ms
--------------------------------------
detection num: 6
 0:  83%, [ 270,   13,  352,  228], person
17:  83%, [ 213,   60,  431,  363], horse
16:  79%, [ 143,  197,  195,  351], dog
 0:  74%, [ 431,  125,  450,  177], person
 7:  73%, [   0,  103,  136,  199], truck
 0:  47%, [ 402,  130,  411,  148], person
--------------------------------------

Output image:

Runs of AXERA-TECH YOLOv5 on huggingface.co

28
Total runs
0
24-hour runs
2
3-day runs
2
7-day runs
1
30-day runs

More Information About YOLOv5 huggingface.co Model

More YOLOv5 license Visit here:

https://choosealicense.com/licenses/mit

YOLOv5 huggingface.co

YOLOv5 huggingface.co is an AI model on huggingface.co that provides YOLOv5's model effect (), which can be used instantly with this AXERA-TECH YOLOv5 model. huggingface.co supports a free trial of the YOLOv5 model, and also provides paid use of the YOLOv5. Support call YOLOv5 model through api, including Node.js, Python, http.

AXERA-TECH YOLOv5 online free

YOLOv5 huggingface.co is an online trial and call api platform, which integrates YOLOv5's modeling effects, including api services, and provides a free online trial of YOLOv5, you can try YOLOv5 online for free by clicking the link below.

AXERA-TECH YOLOv5 online free url in huggingface.co:

https://huggingface.co/AXERA-TECH/YOLOv5

YOLOv5 install

YOLOv5 is an open source model from GitHub that offers a free installation service, and any user can find YOLOv5 on GitHub to install. At the same time, huggingface.co provides the effect of YOLOv5 install, users can directly use YOLOv5 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

YOLOv5 install url in huggingface.co:

https://huggingface.co/AXERA-TECH/YOLOv5

Url of YOLOv5

Provider of YOLOv5 huggingface.co

AXERA-TECH
ORGANIZATIONS

Other API from AXERA-TECH

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