# Jai-wei/YOLOv8-PySide6-GUI

YoloSide - YOLOv8 GUI By PySide6

Repository: https://github.com/Jai-wei/YOLOv8-PySide6-GUI
Canonical: https://ross.abutalabs.com/products/yolov8-pyside6-gui
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: gui, pyside, yolov8
Last push: 2024-09-14T10:33:14+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 90
- inputs: {"age_days": 1273, "days_push": 718, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1171, forks 147 (observed 2026-08-28T04:03:51.484927+00:00)

## What it is
YoloSide is a desktop GUI application built with PySide6 for running YOLOv8 object detection models. Users can load trained .pt model files and run inference on images with results saved locally.

## Use cases
- run yolov8 object detection with a gui
- desktop app to test yolo models on images
- load custom .pt model and detect objects
- yolo inference without writing code
- visual object detection tool for windows

## When to choose
- you need a simple desktop GUI to run YOLOv8 inference on images
- you want to test custom-trained YOLOv8/YOLOv5 .pt models visually

## When to avoid
- you need active maintenance or bug fixes - the project is discontinued
- you need camera, RTSP, tracking, or segmentation support - these are unimplemented
- you need commercial use without considering Ultralytics GPL-3.0 licensing

## Facets
- artifact type: application
- maturity: abandoned
- function: gui, computer-vision, image-processing, machine-learning
- domain: computer-vision, machine-learning, desktop-applications
- platform: python, cross-platform
- tags: yolov8, pyside6, object-detection, inference-gui, discontinued, desktop

## Member repositories
- Jai-wei/YOLOv8-PySide6-GUI (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:51.484927+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:28:29.414898+00:00, confidence not recorded.
  - readme: https://github.com/Jai-wei/YOLOv8-PySide6-GUI (fetched 2026-08-28T04:03:51.484927+00:00, sha cdb86cf9a7ce)
- Data as of 2026-08-30T08:39:29.467469+00:00.