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suesmu/Object-Detection-Case-Study-Mini-COCO-Analysis-Deployment

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Bu proje, COCO 2017 veri setinden türetilmiş 5 kategorilik (person, car, dog, cat, chair) özel bir veri seti üzerinde YOLOv8 mimarisi kullanılarak gerçekleştirilen bir nesne tespit çalışmasıdır. Çalışma; veri ön işleme, transfer learning tabanlı fine-tuning, detaylı metrik analizi ve kullanıcı odaklı bir çıkarım (inference) arayüzü sunmaktadır.

active 2026-02-14 → 2026-02-14 (UTC)

Complete coverage28,144 / 28,144 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-30 (UTC)
Events
2
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Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2026-02-14 to 2026-02-14. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
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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
suesmu1100

Recent activity

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.