AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
active 2024-08-11 → 2026-06-30 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 689 days from 2024-08-11 to 2026-06-30. Pushes: 116 total, peak 11 in a day. Pull requests: 16 total, peak 3 in a day. Issues: 2 total, peak 1 in a day. Comments: 22 total, peak 8 in a day. Stars: 57 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
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| amogh7joshi | 57 | 44 | 9 | 2 |
| naitikjain3071 | 44 | 39 | 2 | 2 |
| smbanx | 31 | 7 | 2 | 11 |
| lalmei | 9 | 7 | 2 | 0 |
| js2552 | 5 | 5 | 0 | 0 |
| dariojavo | 4 | 1 | 1 | 1 |
| Darcieg | 3 | 0 | 0 | 3 |
| eranario | 3 | 3 | 0 | 0 |
| masonearles | 3 | 2 | 0 | 1 |
| DimitriBelikov | 3 | 3 | 0 | 0 |
| varunUCDavis | 3 | 3 | 0 | 0 |
| NielsRogge | 2 | 0 | 0 | 2 |
| github-actions[bot] | 2 | 2 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#77amogh7joshi2025-08-26 14:07CITATION file or preferred BibTeX
- Issue comment#77amogh7joshi2025-08-26 14:07CITATION file or preferred BibTeX
- Issue comment#73Darcieg2025-06-28 16:39Release iNatAg datasets on Hugging Face
- Issue comment#73Darcieg2025-05-27 18:47Release iNatAg datasets on Hugging Face
- Issue comment#73amogh7joshi2025-05-27 18:00Release iNatAg datasets on Hugging Face
- Issue comment#73Darcieg2025-05-25 21:05Release iNatAg datasets on Hugging Face
- Issue#74naitikjain30712025-04-22 01:51KeyError: Missing metadata 'annotation_format' in 'peachpear_flower_segmentation' dataset
- Releaseamogh7joshi2025-04-22 00:44AgML 0.7.4
- Pull request#76amogh7joshi2025-04-22 00:39
- Pull request#76amogh7joshi2025-04-22 00:39
- Pull request#75amogh7joshi2025-04-21 01:53
- Pull request#75naitikjain30712025-04-21 00:02
- Issue comment#74masonearles2025-04-20 13:07KeyError: Missing metadata 'annotation_format' in 'peachpear_flower_segmentation' dataset
- Issue comment#73naitikjain30712025-03-31 04:09Release iNatAg datasets on Hugging Face
- Issue comment#73naitikjain30712025-03-30 00:28Release iNatAg datasets on Hugging Face
- Issue comment#73NielsRogge2025-03-29 12:42Release iNatAg datasets on Hugging Face
- Issue comment#73NielsRogge2025-03-29 12:40Release iNatAg datasets on Hugging Face
- Releaseamogh7joshi2025-02-08 19:52AgML 0.7.2
- Pull request#71amogh7joshi2025-02-08 19:21
- Pull request#71amogh7joshi2025-02-08 01:58
- Pull request#70amogh7joshi2025-02-08 00:57
- Pull request#70naitikjain30712025-01-24 05:33
- Pull request#69lalmei2024-12-22 06:29
- Pull request#67lalmei2024-12-04 22:38
- Pull request#59smbanx2024-11-09 01:20
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 57 stars here means stars gained during the window, not the repo's star count.