AXERA-TECH / YOLOv8-Pose

huggingface.co
Total runs: 173
24-hour runs: 7
7-day runs: -54
30-day runs: -264
Model's Last Updated: July 31 2026
object-detection

Introduction of YOLOv8-Pose

Model Details of YOLOv8-Pose

YOLOv8-POSE

This version of YOLOv8-POSE 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 10.97 ms
AX630C TBD ms
How to use

Download all files from this repository to the device

root@ax650 ~/yolov8-pose # tree -L 2
.
├── ax650
│   └── yolov8s-pose.axmodel
├── ax_aarch64
│   └── ax_yolov8_pose
├── config.json
├── football.jpg
├── README.md
├── yolov8_pose_config.json
├── yolov8_pose_out.jpg
├── yolov8s-pose-cut.onnx
└── yolov8s-pose.onnx

3 directories, 9 files
Inference

Input image:

Inference with AX650 Host, such as M4N-Dock(爱芯派Pro)
root@ax650 ~/yolov8-pose # ./ax_yolov8_pose -m yolov8s-pose.axmodel -i football.jpg
--------------------------------------
model file : yolov8s-pose.axmodel
image file : football.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:1.24 ms
--------------------------------------
Repeat 1 times, avg time 10.97 ms, max_time 10.97 ms, min_time 10.97 ms
--------------------------------------
detection num: 4
 0:  93%, [ 760,  211, 1125, 1157], person
 0:  93%, [1349,  337, 1633, 1039], person
 0:  92%, [   0,  354,  324, 1104], person
 0:  88%, [ 489,  474,  656,  996], person
--------------------------------------

Output image:

Runs of AXERA-TECH YOLOv8-Pose on huggingface.co

173
Total runs
7
24-hour runs
-10
3-day runs
-54
7-day runs
-264
30-day runs

More Information About YOLOv8-Pose huggingface.co Model

More YOLOv8-Pose license Visit here:

https://choosealicense.com/licenses/mit

YOLOv8-Pose huggingface.co

YOLOv8-Pose huggingface.co is an AI model on huggingface.co that provides YOLOv8-Pose's model effect (), which can be used instantly with this AXERA-TECH YOLOv8-Pose model. huggingface.co supports a free trial of the YOLOv8-Pose model, and also provides paid use of the YOLOv8-Pose. Support call YOLOv8-Pose model through api, including Node.js, Python, http.

AXERA-TECH YOLOv8-Pose online free

YOLOv8-Pose huggingface.co is an online trial and call api platform, which integrates YOLOv8-Pose's modeling effects, including api services, and provides a free online trial of YOLOv8-Pose, you can try YOLOv8-Pose online for free by clicking the link below.

AXERA-TECH YOLOv8-Pose online free url in huggingface.co:

https://huggingface.co/AXERA-TECH/YOLOv8-Pose

YOLOv8-Pose install

YOLOv8-Pose is an open source model from GitHub that offers a free installation service, and any user can find YOLOv8-Pose on GitHub to install. At the same time, huggingface.co provides the effect of YOLOv8-Pose install, users can directly use YOLOv8-Pose installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

YOLOv8-Pose install url in huggingface.co:

https://huggingface.co/AXERA-TECH/YOLOv8-Pose

Url of YOLOv8-Pose

Provider of YOLOv8-Pose huggingface.co

AXERA-TECH
ORGANIZATIONS

Other API from AXERA-TECH

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