DataXujing/YOLOv8 resource
:fire: Official YOLOv8模型训练和部署 observed · 2026-08-28
Health v2 · maintenance only
31/100
- Activity 0
- Release rhythm 35
- Longevity 95
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1331
- days_rel: n/a
- days_push: 656
- n_releases_24m: 0
Adoption not part of the score
1480 stars · 174 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Chinese-language tutorial repository for training custom datasets with YOLOv8 (ultralytics 8.0.0) and deploying it end-to-end with NVIDIA TensorRT, Huawei Ascend acceleration, and Android mobile deployment. It includes explanatory material on YOLO architecture evolution and YOLOv5 vs YOLOv8 differences.
Use cases
- train yolov8 on my own dataset
- deploy yolov8 with tensorrt
- convert yolov8 model for huawei ascend
- run yolov8 on android phone
- learn differences between yolov5 and yolov8
- object detection model training tutorial
When to choose
- you want a guided walkthrough of YOLOv8 training plus TensorRT/Ascend/Android deployment
- you prefer Chinese-language documentation for the YOLO ecosystem
When to avoid
- you need the official, maintained YOLOv8 package itself (use ultralytics/ultralytics)
- you need a permissively licensed library - this repo has no license
- you need deployment targets other than TensorRT, Ascend, or Android
Facets
learning-resource · maturity active
machine-learning computer-vision image-processing gpu-computing deployment deep-learning computer-vision tutorials gpu-computing python yolo object-detection tensorrt ascend model-deployment chinese-documentation ultralytics linux android gpu
1 source
- readme: https://github.com/DataXujing/YOLOv8 · fetched 2026-08-28 · 3404f469d7a4
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| DataXujing/YOLOv8 | main | 31 |
For agents
markdown · JSON · MCP: product_card(name="DataXujing/YOLOv8")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem