v2 EyeQ : Dataset of Retinal Image Quality Assessment
active 2023-09-03 → 2026-03-14 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 924 days from 2023-09-03 to 2026-03-14. Pushes: 1 total, peak 1 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 6 total, peak 1 in a day. Comments: 32 total, peak 4 in a day. Stars: 58 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
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| FelixApril | 9 | 0 | 0 | 9 |
| KeramatGH | 3 | 0 | 0 | 3 |
| jjshdhfj | 3 | 0 | 0 | 3 |
| wk100869 | 3 | 0 | 0 | 3 |
| cece11111111 | 3 | 0 | 0 | 2 |
| stellond | 2 | 0 | 0 | 1 |
| robin-321 | 2 | 0 | 0 | 0 |
| liyuan-star | 1 | 0 | 0 | 1 |
| XiaoChen-web | 1 | 0 | 0 | 1 |
| asnnat | 1 | 0 | 0 | 1 |
| CastleDream | 1 | 0 | 0 | 1 |
| Ludwig-Graef | 1 | 0 | 1 | 0 |
| akshay-tj | 1 | 0 | 1 | 0 |
| Xiaohuan-Ding | 1 | 0 | 0 | 1 |
| msubhanahmed | 1 | 0 | 0 | 0 |
| mhpkuaile | 1 | 0 | 0 | 1 |
| suziccc | 1 | 0 | 0 | 1 |
| kikatuso | 1 | 0 | 0 | 0 |
| yyf12345 | 1 | 0 | 0 | 1 |
| lmylhy | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#19kikatuso2026-03-01 19:40EyeQ with checkpoints from AutoMorph - WORKING VERSION
- Issue comment#8jjshdhfj2025-10-31 08:41Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar'
- Issue comment#8jjshdhfj2025-10-31 08:40Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar'
- Issue comment#8jjshdhfj2025-10-30 11:26Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar'
- Issue#18cece111111112025-09-10 07:02Dear Author
- Issue comment#8cece111111112025-09-09 08:02Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar'
- Issue comment#8cece111111112025-09-09 08:02Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar'
- Issue comment#8suziccc2025-08-03 11:26Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar'
- Issue comment#8mhpkuaile2025-05-25 02:54Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar'
- Issue comment#8stellond2025-04-07 14:44Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar'
- Issue#17stellond2025-04-07 14:44Dear Author
- Issue#16Body1232024-12-16 15:13License
- Issue comment#8XiaoChen-web2024-10-31 15:11Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar'
- Issue comment#8FelixApril2024-08-22 05:24Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar'
- Issue comment#8asnnat2024-08-22 05:12Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar'
- Issue comment#8CastleDream2024-07-03 07:45Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar'
- Issue comment#12nnnnpp2024-05-07 13:08other models' code besides densenet121
- Issue comment#12wk1008692024-03-25 05:46other models' code besides densenet121
- Issue comment#8wk1008692024-03-25 05:42Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar'
- Issue comment#10wk1008692024-03-25 05:41download trained model
- Issue comment#8FelixApril2024-02-14 14:56Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar'
- Issue comment#6KeramatGH2024-02-13 12:07The result problem
- Issue comment#8KeramatGH2024-02-13 12:06Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar'
- Issue comment#8FelixApril2024-02-05 17:40Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar'
- Issue comment#8KeramatGH2024-02-05 07:33Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar'
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 58 stars here means stars gained during the window, not the repo's star count.