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Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

active 2023-08-162025-04-03 (UTC)

Partial coverage23,467 / 26,313 hourly files (89%) · 2 absent upstream · 2,845 failed, retryable2023-08-152026-08-15 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
18.4K
Pushes
2.5K
Pull requests
2.4K
Issues
114
Stars
62
Forks
25

Activity over time

Daily event counts in the loaded window

Line chart, 597 days from 2023-08-16 to 2025-04-03. Pushes: 2,549 total, peak 26 in a day. Pull requests: 2,440 total, peak 57 in a day. Issues: 114 total, peak 21 in a day. Comments: 4,988 total, peak 134 in a day. Stars: 62 total, peak 3 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
harimkang2.4K274381621
eunwoosh1.8K119149515
vinnamkim1.4K66104563
kprokofi1.3K406134407
yunchu1.3K581479111
sungchul21.2K75143467
jaegukhyun1.2K64117327
sungmanc1.1K4386335
sovrasov837157145224
goodsong81789145102167
eugene123tw66389136204
wonjuleee5041537206
dependabot[bot]44470241133
chuneuny-emily429877647
codecov[bot]31300313
samet-akcay25326121
github-actions[bot]24024000
ashwinvaidya17186135240
GalyaZalesskaya69111420
github-merge-queue[bot]595900

Recent activity

Latest issues, pull requests and releases

  • Pull request#4326eugene123tw2025-04-03 13:54
  • Pull request#4325eugene123tw2025-04-03 13:48
  • Issue comment#4283EdOgbalor2025-04-03 04:04
    Add a Detailed Troubleshooting and FAQ Section
  • Issue comment#4306EdOgbalor2025-04-03 04:03
    Improve DinoV2 Fine-Tuning for Classification Performance
  • Pull request#4325eugene123tw2025-04-02 15:07
  • Issue comment#4306isthatdeepti2025-04-02 13:53
    Improve DinoV2 Fine-Tuning for Classification Performance
  • Pull request#4322ashwinvaidya172025-04-02 12:32
  • Pull request#4324dependabot[bot]2025-04-02 12:23
  • Pull request#4323dependabot[bot]2025-04-02 12:22
  • Pull request#4320sovrasov2025-04-01 15:22
  • Issue comment#4321sovrasov2025-04-01 11:46
    updated repo with mobilenet_v4
  • Issue comment#4289sovrasov2025-04-01 10:53
    Introduce MobileNetV4 for Improved Performance
  • Issue#4286sovrasov2025-04-01 09:47
    Support linear classifier fine-tuning for classification models
  • Pull request#4298sovrasov2025-04-01 09:47
  • Issue comment#4298sovrasov2025-04-01 09:38
    Support linear classifier fine-tuning for classification models
  • Issue comment#4322codecov[bot]2025-04-01 08:50
    🧹 Refactor detection entity
  • Issue comment#4298gyuilLim2025-03-31 07:10
    Support linear classifier fine-tuning for classification models
  • Issue comment#4306PraroopChanda2025-03-30 22:30
    Improve DinoV2 Fine-Tuning for Classification Performance
  • Issue comment#4306PraroopChanda2025-03-30 22:28
    Improve DinoV2 Fine-Tuning for Classification Performance
  • Issue comment#4289GauravSRC2025-03-30 06:39
    Introduce MobileNetV4 for Improved Performance
  • Issue comment#4306faizan1024182025-03-29 04:00
    Improve DinoV2 Fine-Tuning for Classification Performance
  • Issue comment#4306raahulsaxena2025-03-29 03:18
    Improve DinoV2 Fine-Tuning for Classification Performance
  • Pull request#4321GauravSRC2025-03-28 19:23
  • Issue comment#4298sovrasov2025-03-28 13:38
    Support linear classifier fine-tuning for classification models
  • Pull request#4320dependabot[bot]2025-03-28 12:26

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 62 stars here means stars gained during the window, not the repo's star count.