Datasets:
file_name stringclasses 5 values | quality stringclasses 5 values | plant_density stringclasses 5 values | tiller_count stringclasses 5 values | leaf_color stringclasses 4 values | health_status stringclasses 5 values | soil_moisture stringclasses 5 values | canopy_cover stringclasses 5 values |
|---|---|---|---|---|---|---|---|
0611518401147f0d15c98824c692c347.jpg | 1080*1394 | medium density | approximately 6-8 tillers | green | healthy | moist | moderate canopy cover |
5ac1acf43a8c0cabffdcf519969f143f.jpg | 1080*1391 | The spacing between rice plants is larger, and the density is low. | The number of tillers is not significant, and the tiller count is low. | The leaves are green and the color is healthy. | The plants are healthy with no obvious yellowing. | The soil is moist with noticeable water accumulation. | The canopy cover is relatively small, about 10-20%. |
8aa9f602bdf6d5f5db74f8054ae9413d.jpg | 1080*1398 | The plant density of rice in the image is low, indicating sparse planting. | The number of tillers per rice plant is limited, approximately 3 to 4. | The leaf color is a healthy green. | The rice plants appear healthy with no obvious signs of yellowing. | The soil surface has water, indicating high moisture suitable for rice growth. | The rice canopy cover is low, with the soil surface relatively exposed. |
9e3d123e46b31e48bf6bc1d80a6f3b6e.jpg | 1080*1401 | The rice plant density is high, with plants close to each other. | Several tillers have appeared, the exact number is difficult to determine. | The leaves are bright green. | The plant is healthy, with no obvious signs of chlorosis. | The soil moisture is high, as the rice is growing in a paddy field. | The canopy cover of the rice is large. |
ee7bfbd85db15338ccac890f404b008a.jpg | 1080*1390 | The plant density is relatively low with sparse distribution. | There are few tillers, with multiple tillers per plant. | The leaf color is a healthy green. | The plant is healthy with no obvious diseases. | The soil is moist with water accumulation. | The canopy cover ratio is low, with high ground visibility. |
Rice Tillering Recognition Image Dataset
The core advantage of this dataset lies in its high quality and high precision annotations, with accuracy exceeding 95%. It provides multi-angle, consistent image data. By introducing advanced semi-automatic annotation techniques and data augmentation techniques such as flipping, rotation, and color adjustment, the diversity and practicality of the dataset are enhanced. When applied to rice tillering recognition tasks, this dataset has demonstrated significant advantages, with accuracy improved by 15% and processing efficiency doubled. Compared to other similar datasets on the market, this dataset offers more samples (over 5000 images) and covers tillering characteristics at different growth stages, making it suitable for relevant research and application development. Its structured data storage approach also facilitates expansion and cross-domain applications, supporting further innovative exploration.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| plant_density | float | Density of rice plants within the image. |
| tiller_count | int | The number of tillers for rice plants. |
| leaf_color | string | The observed color of the rice leaves. |
| health_status | string | The health condition of the rice plants, such as healthy, yellowing, etc. |
| soil_moisture | float | The soil moisture in the area where the rice is growing. |
| canopy_cover | float | The proportion of the image covered by the rice canopy. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Source & Contact
If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com
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