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codeproject/CodeProject.AI-ObjectDetectionYOLOv8

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This project integrates YOLOv8 object detection into the CodeProject.AI Server using CoreML to leverage the Apple Silicon GPU and Neural Engine (ANE) on macOS devices (e.g., M1, M2, M3, M4 chips). It is designed to run lightweight and real-time object detection models (e.g., yolov8n), ideal for edge AI applications on Apple hardware.

active 2024-04-25 → 2026-09-04 (UTC)

Complete coverage27,345 / 27,345 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-27 (UTC)
Events
43
Pushes
22
Pull requests
1
Issues
8
Stars
3
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 863 days from 2024-04-25 to 2026-09-04. Pushes: 22 total, peak 2 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 8 total, peak 2 in a day. Comments: 6 total, peak 3 in a day. Stars: 3 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
ChrisMaunder262203
MikeLud3002
grinco3001
kmbrimble2010
xnorpx1000
playerfreak1000
thecamaroguy1000

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.