Dataset · Object detection
CCOD_cotton_flower_detection
by AgML Project-AgML/CCOD_cotton_flower_detection
CCOD (Crop Canopy Organ-level Object Detection) is a UAV dataset of small plant organs seen from above crop canopies: cotton flowers and cotton bolls in Xinjiang, potato flowers at Keshan Farm in Heilongjiang, and rice panicles in Jiangsu, China.
Dataset Card
CCOD (Crop Canopy Organ-level Object Detection) is a UAV dataset of small plant organs seen from above crop canopies: cotton flowers and cotton bolls in Xinjiang, potato flowers at Keshan Farm in Heilongjiang, and rice panicles in Jiangsu, China. Images were captured at flowering or maturity from 12 m with the RGB camera of a DJI Mavic 3 Multispectral drone, cropped into 640 x 640 tiles (512 x 512 for rice), and annotated with dense bounding boxes, using a SAHI-YOLOv10n model to propose boxes that annotators then corrected. The cropcanopy column records which subset each image comes from, and the split column keeps the authors' 7:2:1 train/val/test split. The dataset contains 3,986 images…
Excerpt from the card by AgML, licensed gpl.
Structure
default 3,986 rows
| Split | Rows | Size |
|---|---|---|
| train | 3,986 | 876.5 MB |
Details
- Repository
- Project-AgML/CCOD_cotton_flower_detection
- Publisher
- AgML
- Task category
- Object detection
- Tags
- Not stated by the source
- Size category
- 1K<n<10K
- Languages
- Not stated by the source
- Revision
- 8a905a0e90ed3d651095e1612c32f2e4a2fa7ce1
- Last updated
- 2026-10-07
Files
4 files, 876.5 MB in total.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| data/train-00000-of-00002.parquet | Data | 549.0 MB | 8caa2b691778 |
| data/train-00001-of-00002.parquet | Data | 327.5 MB | 8f77236633d1 |
| README.md | Documentation | 2.2 KB | — |
| .gitattributes | Repository | 2.5 KB | — |
License and Download
- License
- gpl
- Access
- No access gate
Released by AgML through its official repository on Hugging Face.