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The primary goal is to extract detailed vegetation segments from field images. These images include additional tools like gray mats and color cards to enhance the accuracy of segmentation. The segments extracted are intended to be used directly for detailed analysis or to create synthetic image data, facilitating diverse machine learning tasks.
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Process ImagesBacklog
Continuously Monitor and Process
Images Sample Examples
Weeds
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\uD83D\uDDD2 Outputs
ID | Requirement | Category | Description | Format | Notes |
|---|
A.1 | weed semantic mask | dataset | | PNG | |
A.2 | cover crop semantic mask | dataset | | PNG | |
A.3 | cash crop semantic mask | dataset | | PNG | |
A.4 | bounding box detection | dataset | | JSON object | |
A.5 | Metadata | dataset | | JSON | |
B.5 | Report | Monitoring | | PNG/CSV | |
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